At SIEMENS, I design and optimize data pipelines for enterprise planning data on Azure and Databricks. I build SQL and dbt models across staging, transformation, and reporting layers, and work with Snowflake to support governed analytics.
At PANDORA, I built and maintained Databricks and PySpark pipelines for analytics and reporting. I also optimized Delta Lake operations and supported production reliability, CI/CD releases, and curated Power BI datasets.
At SYMUFOLK, I migrated legacy workflows to Azure, improving pipeline performance by 40%, and automated data quality checks that reduced manual QA effort by 70%. I also integrated LLM workflows with LangChain and deployed Azure Logic Apps workflows that reduced manual intervention by 50%.
Earlier, at IBM BALTICS, I developed Python, Scala, and Spark pipelines across Azure services. In freelance consulting, I delivered data engineering solutions for clients in e-commerce, healthcare, and SaaS, using cloud platforms and tools including Snowflake, dbt, and Apache Airflow.

