At Kestra Financial, I engineer GCP data pipelines that integrate investment, portfolio, pricing, asset servicing, and enterprise financial data. I also develop batch and streaming workflows for portfolio, transaction, market, and operational data.
I optimized investment and operational reporting pipelines through incremental processing, partition optimization, Snowflake tuning, and PySpark optimization, improving batch completion time by 35%. I established automated data quality controls that reduced reconciliation effort by 40%.
At Kestra Financial, I prepared governed datasets for analytics and AI use cases with Databricks, Delta Lake, Vertex AI embeddings, and MLflow. I also built secure data services and automated testing and deployment across production workflows.
At Virtusa, I integrated payment, settlement, refund, and chargeback data, and developed reusable ETL workflows across Oracle, SQL Server, Hadoop, Hive, and Sqoop. I also implemented Azure Data Factory pipelines for lending data and transformed customer datasets using PySpark, Azure Databricks, Delta Lake, and Synapse Analytics.
