Hafeez Mohammad

Background

About Hafeez Mohammad

Experienced Data Engineer with 6 years in ETL development, data integration, and cloud-based data solutions. Proficient in Python, SQL, Azure Databricks, Snowflake, AWS (EMR, Redshift, S3, Lambda, Glue), and Airflow. Expertise in Spark, Hadoop, and Hive, with a proven track record of building scalable data pipelines using DataStage, Azure Data Factory, and Databricks Delta Live Tables. Expertise in Azure (Azure SQL, ADLS Gen2, ADF, CosmosDB, DevOps, Synapse), Power BI, and AWS (EMR, Redshift, S3, Lambda, Glue). Strong background in MS SQL Server, SSIS, and SSRS, with advanced performance tuning and troubleshooting skills. Proficient in Snowflake with hands-on experience in SnowSQL, Snow pipe, and building performant data models, ELT pipelines, and automated data ingestion workflows for real-time and batch processing. Experienced with Apache Airflow for orchestrating complex data pipelines, and utilizing Jenkins, Docker, and Kubernetes for CI/CD automation. Proven ability to lead data engineering projects through all SDLC phases, ensuring high-quality outcomes. Effective communicator, adept at delivering actionable insights to stakeholders and team members.