Mohammed Yaseen Email & Phone Number

• Successfully migrated data from traditional database systems to Azure, enhancing scalability and efficiency.
• Generated ER diagrams, architectural design diagrams, process flow documents, data dictionaries, and mapping documents, facilitating project understanding and collaboration.
• Wrote complex transformation scripts to populate dimension tables, enhancing data processing efficiency.
• Engineered end-to-end metadata-driven pipelines, ensuring atomicity and re usability for streaming, batch, and event-driven processing. (Using ADF, Data bricks, Power Bi etc.)
• Create Views, stored procedures and write complex SQL queries as per the requirements.
• Designed and implemented metadata models for centralized custom logging and data quality framework, enhancing data integrity across sources. (Using Data bricks)

Hyderabad, Telangana, India

• Developed and maintained AWS Data Lake, Data warehouses, databases, and reporting environments. Extensively worked with complex data models to build dashboards.
• Created Views, Stored Procedures, User defined functions and optimized large queries.
• Monitor, schedule, and manage data pipelines in Apache airflow.
• Extensive hands-on experience in managing AWS Glue Pipelines and integrating it with other AWS Services.
• Design, build, test, and maintain data pipelines. ETL processes and data management delivery within a s3 global data lake and Redshift environment within AWS Solutions using Glue Jobs, Triggers and Workflows.
• Built strong relationships with the data scientist, administration, Stakeholders, and customers to provide weekly presentations, KPI reporting, and dashboards.

Hyderabad, Telangana, India

• Designed and constructed a scalable web application that converts natural language text into SQL queries on a procurement database, essentially a Google-like search engine for a self- database.
• Pulled, organized, and analyzed relevant data from multiple sources, using tools such as Tableau, VS Code, and programming languages such as SQL and Python
• Designed, build, and launch data pipelines to build data environment that generate business insights.
• Build dashboards and data infrastructure towards a coherent tech and data ecosystem.
• Wrote and deploy SQL to archive and or purge data from databases and to locate, review, explain and document data for retention requirements.
• Resolved DE Duplication, Canonicalization, and Record-linkage by performing entity Resolution on a procurement datasets using AWS Glue. Corrected mapping issues and errors throughout the Data flow

Master Of Science - Ms, Data Analytics Engineering

Bachelor'S Degree, Electrical And Electronics Engineering, A+