David Regalado

Hi there!

Thank you for visiting my profile. I am passionate about data & AI. Throughout my 17 years of professional experience I have seen projects of various types, sizes and industries. 

Summary

In my country, I've worked in the biggest companies like:

- Financial Services: Scotiabank, Interbank
- Telecommunications: Telefónica del Perú, Claro
- Consulting: Teradata Perú, Indra, Encora
- Consumer Credit Reporting Agencies: Equifax
- Ad-Tech: Manya.pe

In those companies, I did the whole data lifecycle: data extraction, ingestion, data manipulation, data modeling (normalization, denormalization, etc), data analysis, data quality assessments. In short, the ETL part (data pipelines) + data analysis. 

Achievements: The Data Warehouses/Lakes and dashboards were delivered to my clients, so they could start making data-driven decisions.

These recent years I've been working for U.S. clients as a contractor. Specifically:

- Academics: University of Chicago
- Healthcare: Amplifon
- Cyber Security: Anomali
- Ad-Tech: Clevertech
- Startup: Nebula.io

Achievements: Data pipelines delivered and students gratuated from the University program.

Highlight

- Founder at Data Engineering Latam, the largest, fastest-growing data community in Latin America: https://www.linkedin.com/company/data-engineering-latam
- I taught Python for Data Science in the University of Chicago.
- Recognized as Champion Innovator by Google
- I led teams of 20 people in 3 different occasions.
- Recurrent speaker and jury in events related to data & AI.

Studies

- Systems Engineer from the Technological University of Peru (UTP), tenth superior.
- With a specialization in Data Science from Johns Hopkins University.
- With a specialization in Data Warehousing for Business Intelligence from Colorado University.
- With a specialization in Data Science and Big Data Analytics from MIT.
- With 4 certifications, 15 specializations and 67 Google Cloud Platform digital badges.
- With studies in Artificial Intelligence at UBA-IALAB

Tech stack

Cloud Computing: Google Cloud (GCP), AWS, Azure
Data Engineering: Apache Beam, Airflow, Spark, Databricks, Snowflake, dbt, Hadoop, Hive, Luigi
Databases: BigQuery, Teradata, MongoDB, Elasticsearch, Oracle, SQL Server, PostgreSQL, Mysql
Data Visualization: Power BI, Tableau, Looker, Data Studio
Programming languages: Python, Scala, R
DevOps & CI/CD: Terraform, Docker, Kubernetes, Git, GitHub

Roles 

CTO, CDO, CDAO, Data Science Manager, Data Engineering Manager, Head of Data, Tech Leader, Data Architect, Data Engineer, Data Scientist, BI Consultant.

Ambassador at AI Time Journal

AI Time Journal is a publishing platform that strives to aware users of and around the world of Artificial Intelligence, growing technology trends, and other industry news. Its final aim is to contribute to steering the development of AI for the benefit of humanity.

Software Prain

- Experience with Jakarta EE and Java SE version 8, 11, 17
- Experience with MySQL, PostgreSQL, SQL Server, Oracle and Mongo DB Databases.
- Experience with Spring MVC Web applications and Spring Boot with Microservices.
- Web services software architecture and design (REST/SOAP).
- Maintain and create new API's to deliver data models.
- Experience in configuration platforms (Maven, Gradle, Jenkins).
- Requirements analysis and application design. 
- Unit testing of applications with JUnit
- Revamping various Java applications developed with Spring, Hibernate and J2EE.
- Release and deployment including Docker and Kubernetes.
- Analyze data storage needs and design relevant databases.
- Interactive and custom web applications in Angular, JavaScript, HTML, CSS, Bootstrap , Angular
- Technical support and application maintenance.
- Experience with AWS and Azure cloud platforms. 
- Experience with the serverless paradigm and with tools like Serverless and AWS Lambda.
- Refactoring and designing the system to migrate to a service-based architecture in preparation for scaling and increasing data flow.
- Improving cloud storage configuration to provide scalability for integration services.
- Optimizing application performance and security and implementing test loads to ensure performance during workload changes.

Java Developer

Data Engineering LATAM

- Coordinate the activities of the Python and Azure Groups: getting Speakers for the study sessions; Establish the agenda for the study sessions, promote each session with its advertising pieces and update the Community's GitHub repository.
- Create content on everything related to Data Science to upload to the different social networks of the Community.

Volunteer

I'm a Back-End Developer, I present custom application solutions focused on different platforms.

I started doing an E-commerce course and ended up writing my first lines of code in C++ 💜.

#𝚒𝚗𝚌𝚕𝚞𝚍𝚎𝚎<𝚒𝚘𝚜𝚝𝚛𝚎𝚊𝚖>

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    𝚜𝚝𝚍::𝚌𝚘𝚞𝚝 << "𝙷𝚎𝚕𝚕𝚘 𝚆𝚘𝚛𝚕𝚍!" << 𝚜𝚝𝚍::𝚎𝚗𝚍𝚕;
    𝚛𝚎𝚞𝚝𝚞𝚞𝚛𝚗 0;
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Every project involves an analysis of what is required, followed by the consolidation of the tools among them the main one such as Documentation; to reach the result according to the established needs. This is my step by step in the creation of each project I have developed.

𝗔𝗹𝘄𝗮𝘆𝘀 𝗱𝗲𝘃𝗲𝗹𝗼𝗽𝗶𝗻𝗴 𝗮𝗻𝗱 𝗶𝗺𝗽𝗿𝗼𝘃𝗶𝗻𝗴 𝘁𝗼 𝗲𝘃𝗼𝗹𝘃𝗲.

For Consulting, Speaker, Freelance contact me through: 

E-mail: 📩 paulabad76@gmail.com 

Or Send me a DM 🗣️

taplio

The Battle

David Regalado

Paula Abad

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