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AI Data Engineer
Data Engineer at Conifer Health Solutions who built reliable pipelines for 27 recurring SFTP feeds across 450+ healthcare facilities.
United StatesAI Data Engineer at Conifer Health Solutions
Engineered Python- and Airflow-based ingestion pipelines processing 27 recurring SFTP feeds across 450+ healthcare facilities. Designed reusable Bronze, Silver, and Gold data layers in BigQuery using dbt, Cloud Run, and parameterized procedures.
PythonAirflowSFTPBigQueryDBTCloud RunTerraformGitHub ActionsCI CDData ObservabilityData GovernanceSecrets Management
Developed 8+ SQL- and Python-based ETL pipelines integrating insurance policy and claims data from multiple sources. Implemented Azure Data Factory pipelines to ingest insurance datasets into ADLS Gen2, using Azure Databricks and PySpark for distributed transformation.
SQLPythonETLAzure Data FactoryADLS Gen2Azure DatabricksPySparkSnowflakeDimensional ModelingData Testing
Developed SQL queries across 10+ relational tables, extracting, joining, filtering, and cleansing structured data for recurring reports. Created reusable Python scripts for file handling, data preparation, and validation.
SQLPythonData ValidationData MappingTroubleshooting
Pursuing a Master of Science in Computer Engineering at the University of Texas at Dallas, expected to complete in May 2026.
Pursuing a Master of Science in Computer Engineering at the University of Texas at Dallas, expected to complete in May 2026.
Completed a Bachelor of Technology in Computer Engineering from the University of Pune.
Profile sourced from Himalayas.