Finance BI

We build modern data infrastructure on Azure

Building on the cloud is hard. But it can give your company the flexibility it needs to do business in this fast changing world.

We can help you build a solid, flexible and cost-effective solution.

We are experts in Microsoft Azure and Databricks solutions, and have helped over 50 companies in their transformations across the years.

Ready for data to speed up your business instead of slowing it down? Let’s chat

Owner and Azure Data Consultant

Data Walnut

You worked hard to get your B2C e-commerce store off the ground. And now it’s doing well

But what is the potential of your store: how much better can it do ?

What would happen if you knew the customer lifetime value and could segment your customers ? 
And then find the best action for each segment?
What would happen if you knew the ROI of your marketing campaigns ?
What would happen if you knew the customers at risk of churn and how to retain them ?

You already have all the data, now it’s about getting your data to work for you.

Let’s take your store to the next level together

Founder

L'Oréal

Data and Finance Manager

Unilever

Strategy Analyst

Golder Associates (Italy)

Controller

Academy of Math and Science (USA)

Accountant/Controller

CPA turned Data Engineer: cut data crunching by 10 hours/week with automated processing and data quality checks ⚡️Azure - Databricks - Power BI

I can help you leverage your data in 2 ways:

1- Consulting activity: Azure data consulting
I help companies build a modern data infrastructure (data lake, data warehouse) on the Azure cloud.
Expertise: Azure, Synapse, Databricks, SQL, Python, Power BI

2- Data product: help e-commerce sites with customer retention
My solution helps e-commerce sites segment their customers, approach the segments differently and increase retention.
Expertise: Customer lifetime value, customer retention, customer upsell, B2C e-commerce.

Luca Zanna

Aurimas Griciūnas

Senior Solutions Architect

SwirlAI

Driving MLOps, Data Engineering and Machine Learning industry forward by helping professionals Level Up in these disciplines.

Founder & CEO

neptune.ai

Chief Product Officer

Head of Product

Driving MLOps industry forward by helping Neptune customers succeed in adopting MLOps best practices.

Transactie Monitoring Nederland (TMNL)

- Contributed to the development of end-to-end Machine Learning platform capabilities in a highly secure environment.
 - Focused on leveraging AWS SageMaker and supporting AWS services to enable scalable experimentation and model deployment.
 - Collaborated with the team to build reusable template libraries, streamlining the process of running ML experiments and deploying models efficiently and securely.

Senior MLOps Engineer

HomeToGo

- Led cross-functional teams of Cloud Engineers and Data Platform Engineers, driving key infrastructure and data initiatives.
 - Spearheaded a company-wide Cloud-Native Transformation initiative to modernize applications and infrastructure.
 - Championed the migration to Infrastructure as Code (IaC), standardizing infrastructure provisioning using Terraform for improved scalability, consistency, and automation.

Data Architect / Data Platform & Cloud Engineering Lead

- Led a Team of Data Engineers.
- Led a Team of Data Platform Engineers.
- Initiated and led a successful company wide Cloud Native Transformation.
- Migrated entire Data Platform Stack to Kubernetes. This included:

        - Airflow.
        - Superset.
        - Spark.
        - MLFlow.
        - Flink.
        - Airbyte.
        - DataHub.

- Introduced first Stream Processing applications that moved some of the Data Warehouse Processing stages upstream the pipeline.

Senior Data Engineer / Data Platform Team Lead

- Led a team of Data Engineers.
- Initiated and led a Data Warehouse migration from Redshift to Snowflake effort. It also included a refactoring of the Data Model.
- Oversaw Data migration from a Druid cluster to Redshift and later Snowflake.
- Introduced and rolled out Machine Learning Experiment Tracking System.
- Deployed and maintained first on-prem Kubernetes Clusters in the company.

Senior Data Engineer / Team Lead

- Led a successful implementation and optimisation of a custom Website Activity Tracking Ingestion Pipeline.
- Deployed and rolled out a company-wide Airflow Cluster.
- Led a full migration from Jenkins to Airflow for Data Engineering Pipelines.

Senior Data Engineer

Tesonet

Responsible for end-to-end development of ML-based products and big data solutions:

 - Identified business use cases suitable for machine learning and translated them into technical solutions.
 - Designed and implemented the full ML lifecycle, including data extraction, cleaning, validation, model training, packaging, and deployment.
 - Contributed to the architecture and development of scalable big data ingestion pipelines.
 - Set up and configured Kafka topics; developed real-time processing applications using Kafka Streams and Spark.

Senior Data Scientist/Engineer

Danske Bank

Projects I worked on:

-Affordability model enhancement using transaction data.
-Bringing transaction data into Balance Sheet stress-testing.
-Unlocking potential of transaction data throughout Risk Management function.
-Stress-testing of REA components and dynamic analysis on different credit portfolio levels.
-Process optimization and automation. Preparing models for production placement.

Senior Data Scientist/Analyst

Projects I worked on:

-Retail customer affordability project in Big Data analytics team.
-IFRS9 Life-time probability of default (LTPD) model development.
-IFRS9 Prepayment model development.
-IFRS9 impact on P&L analysis.
-IFRS9 and pre-IFRS9 ECL stress-testing and reporting.
-REA stress-testing and dynamic analysis on different credit portfolio levels.
-Process optimization by both improving old approaches and introducing new technologies.

Analyst

ADB Gjensidige

Was responsible for implementation of Solvency2 regulatory standards and providing required reports.

Actuary

Was responsible for generating business analysis reports for management.

Was responsible for calculation of Technical Reserves for Non-Life insurance products by applying different triangulation methods.

Junior Actuary

Follow me to learn about Data Engineering and ML Systems | Author of SwirlAI Newsletter | Public Speaker

Tired of all the noise surrounding AI space in recent years? Having a hard time keeping up with all of the news in the field and distinguishing what is really important? Follow me and subscribe to my newsletter to get actionable insights on building production ready AI Systems and keep track of only the important signal of what is happening in the AI world.

With over a decade of experience in Data Science, AI/ML Engineering, and MLOps, I’m also dedicated to helping practitioners level up their skills in MLOps, Data Engineering, Machine Learning, and related fields. I share my knowledge in a clear and accessible way to make learning straightforward and actionable.

If you want to partner with SwirlAI and get your product in front of 40K+ AI/ML/Data Engineers and Leaders via our Newsletter or 135K+ AI/ML/Data Engineers and Leaders via LinkedIn, contact me directly.

taplio

The Battle

Luca Zanna

Aurimas Griciūnas

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