Mubeena Kabeer
Bengaluru
Summary
Data Engineer | 3+ Years | Azure | Snowflake | PySpark | SQL | Power BI
Results-driven Data Engineer with over 3 years of experience in designing, building, and optimizing end-to-end data pipelines on Azure and Snowflake ecosystems. Skilled in ETL/ELT, PySpark, SQL, Databricks, and Power BI, with a proven ability to deliver high-performance data solutions, data quality frameworks, and cloud migrations. Adept at collaborating with cross-functional teams to drive data-driven decision-making, while ensuring scalability, governance, and cost optimization.
Overview
3
3
years of professional experience
Work History
Data Engineer
IBM
Bangalore
05.2023 - Current
- Designed and implemented end-to-end ETL/ELT pipelines using PySpark, Azure Data Factory (ADF), and Databricks, automating ingestion from APIs, flat files, and relational databases into Azure Data Lake and Snowflake.
- Developed Bronze–Silver–Gold data architecture in Snowflake, improving data accessibility and usability for analytics and machine learning teams.
- Optimized PySpark transformations with partitioning, caching, and broadcast joins, reducing pipeline runtime by 30–40% for datasets >1 TB.
- Built data quality frameworks (null handling, schema validation, duplicate removal, business rule validation), improving reporting accuracy to 99.9%.
- Automated workflows and dependencies using ADF pipelines, Airflow, and Snowflake Tasks, Power BI, and ensuring SLA compliance for daily and nearrealtime jobs.
- Implemented incremental loads and CDC pipelines, reducing processing cost and runtime by 50%.
- Developed pipeline monitoring & alerting system (Slack/Teams + logs), reducing downtime by 25%
- Integrated Snowflake with Power BI dashboards, enabling business users to track licensing revenue, churn risk, and utilization KPIs.
System Engineer
Tech Mahindra Cerium
Kochi
08.2022 - 04.2023
- Worked in semiconductor physical design engineering, supporting timing closure, data routing, and block-level design workflows.
- Trained in Linux, SQL, and database management to support data-driven engineering tasks.
- Developed internal documentation and supported training plans for engineering interns.
- Strengthened fundamentals in system architecture, data flows, and structured problem-solving.
Education
Bachelor of Technology - Electronics And Communications
Toc H Institute of Science And Technology
Kochi06-2022
Skills
- Data Engineering: ETL/ELT Pipelines, Data Modeling, CDC, Data Warehousing, Data Quality, Orchestration
- Technologies: PySpark, SQL(Stored procedures), Python, Pandas, NumPy
- Cloud: Azure Data Lake, Azure Synapse Analytics, Azure Databricks, Azure Data Factory, Snowflake
- Visualization: Power BI, dashboarding & reporting
- Other: Jira, Confluence, ServiceNow, Agile/Scrum
Projects
Enterprise licensing data optimization and dashboarding
Role: Data Engineer | Organization: IBM | Duration: May 2023 – present
- Built a licensing data pipeline using Azure Data Factory, Databricks, and Snowflake.
- Designed an incremental pipeline with CDC and partitioning, reducing processing time by 45%.
- Ingested raw CSVs (licensing data) into Azure Data Lake (Bronze) → transformed to clean datasets (Silver) → aggregated into business-ready fact tables (Gold).
- Published results to Power BI dashboards for revenue tracking, churn analysis, and license utilization insights.
Timeline
Data Engineer
IBM
05.2023 - Current
System Engineer
Tech Mahindra Cerium
08.2022 - 04.2023
Bachelor of Technology - Electronics And Communications
Toc H Institute of Science And Technology