About Me
Data Engineer with 1+ years of experience building and migrating production data pipelines on Databricks and Microsoft SQL Server for AT&T at Amdocs. Skilled in PySpark, SQL, Delta Live Tables (DLT), Autoloader, and Meda…
Data Engineer with 1+ years of experience building and migrating production data pipelines on Databricks and Microsoft SQL Server for AT&T at Amdocs. Skilled in PySpark, SQL, Delta Live Tables (DLT), Autoloader, and Medallion (Bronze/Silver/Gold) Lakehouse architecture. Proven record of automating file and streaming ingestion, cutting data onboarding time through parallel load frameworks, and ensuring 100% data reconciliation during SSMS-to-Databricks migration. PG-DAC (C-DAC) graduate seeking Data Engineer roles.
Experience
Data Engineer
<p>Migrated 50+ database objects and ETL workflows from SQL Server (SSMS) to the Databricks Lakehouse with 100% data reconciliation, modernizing legacy reporting workloads.</p><p> Designed and deployed Delta Live Table (DLT) pipelines using PySpark and Spark SQL for automated, reliable ingestion and transformation, reducing manual intervention and pipeline failures.</p><p> Built a file-watcher and file-loader framework that auto-detects, validates, and loads incoming source files, eliminating manual file handling and reducing load errors.</p><p> Developed an Initial Load framework running parallel full loads of selected tables, cutting new-table onboarding time by ~40%.</p><p> Built an Incremental Load framework (last-max-date to current) for efficient delta processing, applying PySpark performance tuning and optimization to improve refresh performance and reduce compute cost.</p><p> Implemented Autoloader-based streaming ingestion from Oracle GoldenGate (OGG) sources into the Lakehouse for near real-time data availability.</p><p> Developed Gold-layer "Biller" reporting tables per business logic, applying dimensional / star-schema data modeling within the Medallion (Bronze/Silver/Gold) architecture; managed data access and governance via Unity Catalog.</p><p> Authored YAML-based job orchestration with dependency-aware scheduling (Databricks Jobs and Azure Data Factory) for automated batch pipeline runs.</p><p> Automated job execution and monitoring on Linux using shell scripts and PuTTY; collaborated in an Agile team using Git/GitHub with CI/CD (Azure DevOps) workflows for version control and deployment.</p>