Mohammad Jamal Khan

1. Automated Adobe Analytics migration validation, reducing manual effort by 80%. 2. Automated ingestion from 7+ public data sources, cutting manual setup time by 70%. 3. Designed and deployed scalable BigQuery data pipelines and Looker dashboards to deliver near real-time business insights. 4. Developed an LLM-based RAG chatbot POC for internal use to enhance data discovery and knowledge access. 5. Mentored 2 junior engineers on data engineering best practices, CI/CD, and pipeline automation.

1. Developed diverse transformation scripts utilizing PySpark and AWS. 2. Developed proof-of-concept using AWS, Delta Lake, Databricks and QuickSight. 3. Worked with structured and unstructured data formats employing PySpark and Pandas. 4. Oversaw a team of 3 developers, ensuring high-quality task delivery. 5. Offered production support for analysing and fixing bugs.

1. Developed various transformation scripts using PySpark, Airflow and AWS 2. Developed Data Ingestion pipeline using Airflow. 3. Worked with structured and unstructured data formats using PySpark and Pandas. 4. Ingested various Free and Paid data sources. 5. Provided production support for analysing and fixing bugs.

1. Developed various transformation scripts in Spark. 2. Developed Hive and Teradata Query scripts for data loads. 3. Developed TWS Schedules to schedule Spark and process management jobs 4. Developed Teradata BTEQ, FEXP, MLOAD scripts for ETL process. 5. Optimized Queries for better performance. 6. Provided support for Production loads and resolution in case of failures