π India | π§ [email protected]
- π Data Engineer specializing in cloud-based data pipelines and real-time analytics
- π± Building scalable solutions with Azure, Databricks, AWS, and Apache Spark
- π‘ Passionate about data architecture, ETL/ELT, and performance optimization
- π― Expertise in SparkSQL, Python, and data governance
- π¬ Ask me about Azure Data Factory, Databricks, PySpark, or cloud architecture
- β‘ Certified across multiple cloud and data engineering platforms
| Cloud Platforms | Data Engineering | Programming |
|---|---|---|
| βοΈ Azure Fundamentals (AZ-900) | π Databricks Data Engineer Associate | π» SQL Advanced (HackerRank) |
| βοΈ Azure Data Fundamentals (DP-900) | π Power BI Data Analyst (PL-300) | |
| βοΈ AWS Cloud Practitioner (CLF-C02) | π AWS Data Engineer β Associate |
Azure & Databricks ββββββββββ 90%
Python & PySpark ββββββββββ 90%
SQL & SparkSQL ββββββββββ 95%
ETL/ELT Pipelines ββββββββββ 88%
AWS Services ββββββββββ 82%
Data Modeling ββββββββββ 87%
Apache Spark ββββββββββ 89%
Power BI & Tableau ββββββββββ 80%
Tech Stack: SQL | Advanced Queries | Data Modeling | Performance Optimization
Highlight: 40% performance improvement through indexing and query optimization- πΉ Designed normalized relational database schema for healthcare analytics
- πΉ Developed stored procedures and views for predictive insights
- πΉ Implemented advanced joins, CTEs, and window functions
- πΉ Applied indexing strategies reducing execution time by 40%
- πΉ Created automated reporting system for heart disease trend analysis
Tech Stack: Python | SQL | Azure Databricks | Azure Data Factory | ADLS
Highlight: Automated ETL pipeline with data quality validation- πΉ Built end-to-end ETL pipeline with Python and SQL transformations
- πΉ Deployed on Azure Databricks for distributed processing at scale
- πΉ Integrated with Azure Data Factory for orchestration and scheduling
- πΉ Implemented data validation checks and logging mechanisms
- πΉ Achieved 99.9% data quality with automated error handling
π Morning βββββββββββββββββββββ 35.2%
π Daytime βββββββββββββββββββββ 67.4%
π Evening βββββββββββββββββββββ 28.6%
π Night βββββββββββββββββββββ 15.8%
- π΄ Opened PR in data engineering project
- π Pushed updates to shramkavach.com
- β Starred apache/spark repository
- π Deployed shramtools calculator suite
- π‘ Contributed to cloud automation scripts
| Data Engineering | Cloud Architecture | Soft Skills |
|---|---|---|
| ETL/ELT Pipelines | Azure & AWS Solutions | Problem Solving |
| Real-time Streaming | Scalable Architecture | Team Collaboration |
| Data Governance | Cost Optimization | Communication |
| Performance Tuning | CI/CD Implementation | Creativity |
| Data Modeling | Security & Compliance | Multitasking |