
Mohammad Haseena
@mohammadhaseena
PySpark Data Engineer at Accenture who built a Databricks lakehouse pipeline processing 5,050 sales records.
What I'm looking for
At Accenture, I built and maintained SAP BODS ETL transformation pipelines and developed data workflows, mappings, and batch jobs. I used SQL to validate and troubleshoot data, and Power BI dashboards to monitor compliance data and resolve more than 200 access compliance cases monthly.
In my Legacy ETL to Cloud Lakehouse Migration Engine project, I designed and developed a PySpark pipeline on Databricks using Medallion Architecture. It processed 5,050 sales records and 500 customer records, with validation stages that passed 4,373 clean records to the Gold layer.
I also built an Employee Management System web application with Flask and SQLite, implementing CRUD functionality and designing its relational database schema. I'm a Databricks Certified Data Engineer Professional and Microsoft Certified: Azure Administrator Associate, and I'm seeking a PySpark Data Engineer role building and optimizing reliable, production-grade Spark data pipelines.
Experience
Work history, roles, and key accomplishments
Built and maintained SAP BODS ETL transformation pipelines for enterprise data extraction, transformation, and loading, working hands-on across both SAP BODS and SAP ABAP. Used SQL for data validation, debugging, and troubleshooting to ensure pipeline data quality and integrity.
Education
Degrees, certifications, and relevant coursework
Sri Vasavi Institute of Engineering & Technology
Bachelor of Technology, Computer Science Engineering
2020 - 2024
Grade: 8.4/10
Pursued a Bachelor of Technology in Computer Science Engineering, achieving a CGPA of 8.4/10.
Sri Chaitanya Junior College
Intermediate, MPC
2018 - 2020
Grade: 9.5/10
Completed Intermediate education in the MPC stream, achieving a CGPA of 9.5/10.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Salary expectations
Job categories
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