DataExpert.io

Founder

Ardent AI

I think AI will disrupt data engineering in a significant way. I’m investing in Ardent to accelerate that disruption!

Angel Investor

Peony Health

I invested in Peony Health because I believe habits are greatly impacted by neurochemistry and Susie Chen is a technical founder with business chops who will deliver on their mission

Illuminate AI

I'm one of the new Bay Area chapter leads for Illuminate AI! 

I help make events better and build this community to the next level!

Chapter Lead

Mage

I'm advising Mage on how to make a data engineering friendly Airflow competitor that will be the next generation of job orchestration!

Advisor

A House in Utah

Former Child

SylphAI

I’ve invested in SylphAI because I’m passionate about building community in AI that helps everyone meet their growth goals and fulfill their potential

Airbnb

Changed Airbnb's availability definition from "did a host set a rule that blocked this night" to "can a trip be booked that contains this night" 

Consolidate the availability definition across the company. Saving >500 TBs in the cloud and shrinking the data set to 3% its old size.


Decreased the landing time of Airbnb's unit economics dataset from 3 days to 1 1/2 days. Built a long-term roadmap to further increase the quality of this critical dataset. 

Improved the quality of online systems at Airbnb to be easily compilable by Spark pipelines to compute metrics offline. 

Lead a team of 6 engineers to deliver on the MIDAS initiative to increase the data quality of the Commercial Products org. 

Upleveled smart pricing at Airbnb by improving the feature engineering and latency of the data used to train the smart pricing model.

Staff Data Engineer - TC $600k ($220k Salary $320k Stock $60k bonus)

Netflix

Built a machine learning feedback system that allowed security engineers to label corporate user behavior as risky or not risky.

Built Asset Inventory - a graph database solution that is a map of all of Netflix's cloud infrastructure.

Senior Software Engineer - TC ~$575k ($550k salary + 5% options)

I built a pipeline that measures the cloud infrastructure impact on AB tests, saving Netflix millions by allowing them to make smarter AB test rollout decisions.

Senior Data Engineer - TC ~$365k ($365k salary + 5% options)

Facebook

- Managed a 10 PB+ Hive data warehouse
- Consolidated and conformed company-wide growth metrics (across WhatsApp, Instagram, Messenger, and Facebook) into a single, company-wide view. 
- Optimized machine learning feature set generation pipelines (200+ TB/day) from having a 4 day latency to having a 1 day latency. While also dropping compute costs for those pipelines 4x. 
- Reduced core notification data set latencies from 36 hours to < 8 hours. 
- Migrated 50% of notifications pipelines from using Hive to use Spark, Presto, or real-time streaming.
- Cut compute cost from notifications pipelines by 40% over the course of 9 months.

Data Engineer - TC $185k ($135k salary, $50k stock)

I love to teach. I post about #dataengineering and #mentalhealth daily. 

Many years of data engineering experience doing growth analytics at Facebook, security infrastructure at Netflix, and pricing and availability infrastructure at Airbnb. 

You can find me by looking up EcZachly on all social networks 

Join my Data Learning Platform https://www.dataexpert.io

Zach Wilson

I’m happy to share that I’m starting a new position as Strategic Advisor at omi!

I believe in Nik Shevchenko and I want to start having a much more data rich life!

Founder @ DataExpert.io, use code BF for 40% off!

Hitting 500k followers here on LinkedIn feels like a dream come true!

I started posting every day back on December 12th, 2020 and I had no idea it would impact my life in such a profound way

I met so many amazing creators along this journey like Carly, Aishwarya, Joe, Chip, Delia, Li, Annie, Jhillika and many more! 

To celebrate 500k followers, You can use code 500k at DataExpert.io/500k to get 50% off! This deal ends today at midnight pacific time! 

How long until I hit 1 million?

We're making some important updates to the Snowflake + dbt boot camp on January 6th! 

- We are limiting seats to 60 students to keep quality of instruction high (we are already halfway booked up)
- We are adding Cortex lessons for both vector search and document parsing
- We are adding a lesson change data capture 
- We are adding an Iceberg and Snowflake module for those interested in the open data format! 

If you're interested in some early Black Friday deals on this boot camp, send me a DM!

I'm launching a free data science interview boot camp with Vaishali Macwan tomorrow!

For the next four weekends, Vaishali will go over the most important things to land a product data scientist role!

- Week 1 Getting Noticed
You can't land a job without landing an interview. Master the job search skills quickly!

- Week 2: The fundamentals and interview formats
SQL is absolutely essential for data scientists. We'll be covering the different interview formats this week too

- Week 3: How to pass the product sense and company fit rounds
Product sense is one of the most difficult interview rounds for data scientists. Vaishali has mastered this round and will pull back the curtain!

- Week 4: The behavioral round and negotiation
These two rounds are critical to sealing the deal for your new data science job and getting paid the most you can!

You can join the free boot camp here: https://lnkd.in/gj7xxGU3

Luxoft

Change Advisory Agent - MVP (Philips) (Lead Role)

• Project Ownership: Independently designed and developed the entire MVP from scratch, leading all phases from architecture to deployment using Gemma 3 LLMs (local/API) and ChromaDB for advanced semantic similarity search.
• Built an agent-based workflow using LangGraph, automating the evaluation of IT change requests for clarity, risk, completeness, effectiveness, and historical consistency.
• Implemented robust data preprocessing pipelines, including normalization and stratification, to improve input quality and analytical accuracy.
• Combined structured field analysis with inter-field and contextual correlation, and retrieved similar past changes via vector search to provide a holistic assessment.
• Delivered results through automatically generated PDF reports, merging structured logic with semantic insights, enabling smarter IT governance.


AI Workbench Platform - Key contributions

• Conducted deep-dive research into “deep-thinking” models that can invoke MCP tools natively within their reasoning loop; identified the open-source Connector-MCP framework and proved its value by building a Wikipedia deep-research agent PoC (FastMCP + ngrok + Anthropic Python SDK). This solution shortens development cycles and removes the need for custom orchestration logic when communicating with MCP servers.
• Created an A2A-protocol integration blueprint that pairs Anthropic Deep Research with Connector-MCP, paving the way for seamless adoption across our AI Workbench platform.
• Built custom Model Context Protocol (MCP) servers on OpenAI, Azure OpenAI, and Anthropic back-ends, deploying them in Windsurf IDE to standardize and accelerate inference workflows.

Generative AI Engineer

Agentic Chatbots (Multiple versions of a chatbot designed to identify diagnostics, remediation steps, and issues: either resolving them or escalating by raising tickets)

Developed and iterated on three versions of the chatbot, including two Azure OpenAI-powered web apps, a third improved release, and a LangGraph proof of concept for advanced agentic workflows.

• Played a key role in building two web applications and a third release powered by Azure OpenAI assistants using large language models (LLMs), designed to automate diagnostic and remediation tasks and accelerate issue resolution.
• Led team initiatives during the initial phase of the project, overseeing progress tracking, structured workflow management, and task distribution to ensure smooth execution. Managed key project tasks such as scheduling meetings, tracking milestones, and facilitating early development efforts. 
• Provided mentorship and support by explaining AI/LLM concepts and best practices drawn from prior experience on the Codegen project, fostering team collaboration and technical understanding.
• Designed workflows, architectural diagrams, and task-specific assistants, utilizing advanced prompt engineering techniques to optimize assistant behavior.
• Programmatically managed the deployment and configuration of assistants using Python, ensuring seamless integration and improved collaboration between components.
• Built and integrated a testing framework with a simulated user assistant, enabling automated validation of conversations across multiple use cases and user input variations, including edge cases and less structured or ambiguous queries.
• Actively contributed to Streamlit and Azure Web Apps-based implementations, delivering scalable solutions with real-time problem-solving capabilities through chat interactions, which automate tasks and save both time and money

Applied AI Engineer

Data Engineering Automation and AI-Driven Solutions 

Codegen (Data Engineering Automation Using Generative AI):

• Designed and deployed a Microsoft Teams application that automates the creation of ETL pipelines (e.g., ingestion, curation) and custom solutions based on user prompts, significantly reducing the time and effort required to build data pipelines.
• Integrated Azure Functions, Azure Bot Service, and Adaptive Cards for a seamless frontend experience, while backend processes were built using Python scripts packaged in a wheel and orchestrated with Databricks Jobs/Notebooks.
• Leveraged the Microsoft Teams Developer Kit to enable users to interact with AI agents powered by large language models (LLMs) such as Azure OpenAI, review generated configuration files, and approve pull requests, accelerating project delivery and improving productivity.
• Created and refined statistics tracking systems to collect detailed data from application runs, optimizing performance and supporting the creation of a robust testing framework.

Applied AI Engineer/Data Engineer

Engaged in a dynamic and multicultural environment, contributing to various data engineering initiatives:

• Data Pipelining: Took charge of designing, developing, and testing robust data pipelines utilizing a 
sophisticated data ingestion framework, ensuring seamless data flow and integration across different 
systems and platforms. Participate in the analysis, design, development, and maintenance of data 
products and systems.
 
• Data Engineering: Enhancing the existing data framework by implementing improvements and 
introducing new features. This involves a thorough analysis of the current architecture, identifying areas 
for enhancement, and applying best practices in data engineering to optimize performance and 
functionality.

Data Engineer

Toastmasters Bucuresti

• Welcomed and onboarded 23 new members, growing the club to 36 members - the highest in recent years (as of March 2025). Guided them through the entire process: providing information about the club and Toastmasters International, understanding their goals, and highlighting how Toastmasters addresses their needs.

• Organized community-building events to strengthen club connections, including: skydiving, a one-day beach trip, karting, Christmas market outings, and board game nights.

• Coordinated a special Halloween meeting featuring a public speaking influencer, increasing club awareness and expanding social media reach.

• Mentored three new members, supporting their growth in public speaking and leadership: proudly, two of them won their Icebreaker speech contests.

• Fostered a welcoming community by assisting first-time guests, engaging non-members, supporting club members with speech preparation, offering guidance, and encouraging their public speaking journey -> helping to improve retention and overall club spirit.

• Competed in humorous speech contests for the first time: won at the club level in both Romanian and English, placed 1st at the area level in Romanian and 2nd in English, and advanced to the national competition with both speeches (RO/EN)

Vice President of Membership

• Organized a Facebook paid advertising campaign for a special meeting aimed at attracting new members.

• Managed PR efforts for a Toastmasters contest with 45+ participants: designed and distributed the registration form, collected and synchronized participant data, created and shared the agenda, handled event announcements, and supported on-site coordination.

• Created and posted weekly social media updates, including recaps of past meetings, a “Book of the Week” feature, and event promotions for upcoming meetings.

Vice President Public Relations

HCLTech

Work with HP Inc. client (US/Canada & India teams): 

•	Develop, test, and deploy data pipelines (ETL) using AWS (S3/Redshift), Databricks, Python, PySpark, SQL, Azure DevOps, and GitHub. Working mode: multicultural, agile/scrum environment.
•	Interact with project management, leads, testers, and other developers to understand the features, plan the schedule, design and implement the solutions, optimize, and perform development testing and bug-fixing in order to deliver high-quality data products.
•	Participate in the analysis, design, development, and maintenance of data products and systems. 
•	Develop unit tests, perform feature/integration testing and performance testing.

Skills utilised & developed + technologies used:

· Databricks ·Python · SQL · Spark · PySpark · Apache Airflow · DBT · Extract, Transform, Load (ETL) · DBeaver · Jira · Amazon Web Services (S3, Redshift, AWS Databricks) · Data Engineering · GitHub · Splunk · Alation

The main focus was on courses & projects in Digital Engineering and Data Science, mainly SQL and Databases, UNIX, Data Warehousing/Modelling/Quality, Cloud: Azure Cloud Services (Azure Data Factory, Databricks, and Data Lake Storage), Python programming, and Data visualization – Power BI.

During the internship project at the end, I used Azure Data Factory to load/ingest and clean data among with performing validations and transformations. After storing the cleaned data into Azure data lake storage, I build automated functions inside Azure Databricks (using Python, SQL, and PySpark) to load the data/process it and create KPIs dashboards. Lastly, I processed and prepared the data for EDA (exploratory data analysis) and performed machine learning techniques to try to predict the customer's behavior.

Junior Digital/Data Engineer

Society of Petroleum Engineers International

• Represented DTU at two editions of Petrobowl contest
• Actively involved in the events of the student chapter

Event Manager at SPE Student Chapter DTU

Just Eat Takeaway.com

To be able to pay the living during my abroad studies:
• I demonstrated that I have a keen eye for details being able to deliver quality work
• Stress Management: I managed to finish my tasks under pressure (of time)

Student Job as a part-time Delivery Rider

BH HotelService 

Student Job as a Housekeeper at BH HotelService

an active member:
-participating at seminars and workshops related to oil and gas industry
-involved in trainings(ex. Schlumberger Petrel RE training)
-support the community (ex. I helped the organizers for “Constantin Gh. Popa” Poster & Paper Contest Xth Edition)

Active Member at SPE Student Chapter UPG Ploiesti 

Tenaris

As an intern for TenarisSilcotub, I have constructed an electronic user form and automated system (synced with data from their database) using Excel and VBA (learned VBA from YouTube and Google). Instead of having the information of equipment on papers, the new system I built will allow evaluation of tools’ runlife, will improve the management of the “in use stock” and last but not least will have enough information to perform technical and cost analysis. Main deliverable:
 
•	Electronic user-friendly form, easy and fast to complete
•	Dynamic system for runlife follow up of forging tools 

There are many advantages of using the new digitalized system, but the most important ones are:

•	Have a reliable and dynamic database of forging tools that is easy to use and fast to fill it
•	Have good traceability and follow up for each piece of the tools set
•	Available data and information in order to perform runlife and cost analyzes

Skills developed:

•	Learn by myself Excel VBA Programming
•	Understand how to effectively research and keep a planned schedule
•	Understand and learn about the mill technologies & Forging process
•	Establish effective communication
•	Learn to present my work (final project presentation)
•	Health and Safety Training

I received good feedback, especially at the end of the internship program when I won the project presentation contest (between the interns) and I found out that my project will be used by the factory.

Summer Internship

D3Generatii

- actively involved in volunteer work with disabled children and with street kids twice a month
- organizing the activity halls for the kids
- involvement in fundraising (handmade items for sale in a Christmas Fair)
- attendance in all the team building sessions and training sessions
- giving respect, responsibility and attention on tasks and in the interaction with children

 I planned and I organised an activity for children in the volunteer project with my colleagues where I demonstrated leadership skills, a good team work and an efficient communication in order to take quick decisions.

Volunteer

Generative AI Engineer 👨‍💻 | Building Gen AI Apps for Automation & Agentic Chatbots 🤖 | Public Speaker🗣️ | Self-Improvement Practitioner🌱

Hey! 😊 I'm Adrian, an AI Applied Engineer, Public Speaker, and Life-Long Learner.

💻 I enjoy solving complex problems through innovative tech solutions, particularly using AI/GenAI, coding, and data. I'm especially interested in roles and projects focused on developing and deploying intelligent automation solutions, advanced chatbots, and AI-driven applications.

I transitioned from data engineering into AI by first automating data engineering processes using LLM-based Teams applications, and then fully focusing on developing automated GenAI applications, notably advanced agentic chatbots.

🎤 As a passionate public speaker, I actively participate in events, Toastmasters meetings, and speaking contests. I proudly won my first competition at the club and area levels and advanced to nationals.

I'm consistently dedicated to personal and professional growth.

 -------------------------------------------------------------------------------------------------------------------

More Technical and Soft Skills Details:

🛠️ Skillset & Expertise:

🤖 AI:

- Automation with LLMs: Azure OpenAI, Azure AI Studio, Azure Assistants, Azure Completion, Anthropic, DeepSeek + MCP, A2A Protocol

- Prompt Engineering, Retrieval-Augmented Generation (RAG), Vector Stores, Retrieval Systems

- Chatbot Development, Design, and Testing

- Streamlit, Azure Web Apps, Azure Bot Services, Azure Functions, Adaptive Cards (app deployment, prototyping, backend code delivery)

- Exposure to LangGraph, AutoGen

🧾 Main Programming Languages: Python, SQL, PySpark

☁️ Cloud Services: Azure (Azure Data Factory, Bots/Functions, DevOps, Databricks), AWS (S3, Redshift, Databricks)

⚒️ Additional Skills: Building ETL pipelines (Extract, Transform, Load), Data Wrangling/Cleaning, Git, Exploratory Data Analysis (EDA)

🤝 I'm always open to collaboration or engaging discussions, so feel free to reach out!

✨ Hobbies & Interests:

          ⛷️ Sports: Skiing, Running, Bodyweight Exercises
          📖 Reading Books & Listening to Audiobooks/Podcasts
          🌱 Self Improvement: Growth Mindset & Psychology
          💹 Business & Digital Marketing

🧠 MBTI: INFJ

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Zach Wilson

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