• Built a PostgresSQL(RDS) Data Warehouse (Bronze/Silver/Gold) integrating Scheduling, EHR/Medical Records, Finance, and Inventory data. Implemented ETL pipelines running Airflow on an EC2/Ubuntu VM. Delivered a multi-agent AI assistant POC using MCP and Streamlit (Triage, Operations, Finance, Inventory) with an internal FAQ RAG knowledge base. Engagement type: fied-scope consulting project (deliverables-based)

• System migration: Built an end-to-end logistics migration pipeline (SQL Server → PostgreSQL) in Apache Airflow on Azure VMs, with robust data quality and observability, fully aligned to business rules and cross-system model changes. Symphony (Client: Aptitude Health) — Data Engineer - May 2024 – Dec 2024 • Healthcare DataWarehouse: Built a Redshift + S3 data lake/warehouse to analyze patient treatment pathways; owned ingestion, cleansing. Redshift modeling, and QuickSight dashboards using Glue, Lambda, and Athena.

• Maintenance and Expansion of the Data Warehouse: Maintained 150+ Airflow DAGs powering a Snowflake DWH; shipped new pipelines plus data tests/quality/observability, developed dimensional models and Tableau reports, and implemented dbt-based transformations

• Created pipelines to build a data warehouse that transformed DICOM (medical imaging format) into structured information—extracting and transforming data, removing PHI, performing segmentation, and enforcing FDA requirements. Built on AWS using Redshift, Glue, Kinesis, Kafka, dbt, and S3.

• BERT topic modeling for legal documents; stack Transformers, TensorFlow, spaCy. Evaluation, explainability, and scientific documentation.

• DWs on SQL Server/Hive; HDFS/Sqoop ingestion; log analytics (marketing, BI, error and security) with Kafka, PySpark, Elasticsearch. ML in Telecom (prepaid fraud), Education (churn), Public Sector (fraud prevention). Time-series forecasting for a hotel chain; IoT Sociometric Badge (Python, MongoDB, SQL Server, Power BI).