Professional Summary
Lead data engineer with 10 years across ETL, analytics and data architecture. Strong in Python and SQL with deep RDBMS and NoSQL knowledge, cloud data platforms (Azure, GCP, AWS) and modern tooling (Databricks, dbt, Great Expectations). Track record of building high-load pipelines, optimizing very large databases (1.5B+ rows), leading migrations to Databricks-based architectures, and delivering analytics integrated with Power BI — plus requirements gathering and direct client communication.
Core Skills
- Languages
- SQL / T-SQL / PL-SQL, Python, R, PowerShell / Bash
- Cloud
- Azure (ADF, Databricks, Synapse, DevOps), GCP (BigQuery, BigTable, Dataflow, Dataproc), AWS (Redshift, Kinesis, Athena, SageMaker)
- Databases
- MS SQL, MySQL, PostgreSQL; MongoDB, Redis, Elasticsearch, Cosmos DB, DynamoDB
- Data and ML
- dbt, Great Expectations, Pandas, NumPy, SciPy; TensorFlow, Keras, PyTorch
- Tooling
- Docker, Django / Flask, Airflow, Git; Agile / Scrum
Professional Experience
E-commerce Data Solution — Retail — Data Engineer / Data Scientist / Team Lead
US client
High-load online sales platform with intense ETL and built-in analytics.
- ETL processes, database structuring and maintenance for a high-availability platform.
- Optimized very large databases (1.5B+ row tables); built classification models; led the team.
Tools: AWS, GCP, PostgreSQL, Python, TensorFlow, PyTorch, Flask/Django
E-commerce Data Solution — Finance — Senior / Lead Data Engineer
UK client
Banking system with heavy data processing on SQL Server, Databricks and Azure.
- ETL/ELT, cloud data organization and architectural DB solutions.
- Analytical tooling and Power BI reporting; migration from legacy SQL to a Databricks-based architecture.
Tools: SQL Server, Azure Data Factory, Databricks, Synapse, Azure DevOps, Python, PySpark, dbt, Great Expectations, Power BI
Global Consumer Data Platform — Lead Data Engineer / Data Architect
US client
- Data migration, ETL, performance optimization and analytical tooling.
- Led a 20+ member program with a 4–5 person dev team.
Tools: Azure Databricks, MS SQL Server, Azure DevOps, Azure Cloud, Python
Education & Certifications
Google Cloud Professional Data Engineer · AWS Certified Data Analytics – Specialty · Azure Data Engineer Associate · Databricks Platform Architect · TensorFlow Developer