- 🎓 B.Tech in Computer Science & Engineering (CGPA 9.11)
- 💼 Software Engineer at Anura Infotech (CRIF India) — Big Data, ETL, PySpark
- 🧠 Currently learning: Advanced Data Engineering, Cloud, MERN Stack
- 🤝 Open to collaborate on Big Data, Python, Cloud, and Open Source Projects
- 👨💻 Check out all my projects: GitHub Repositories
- 📫 Reach me here: Email
- Built & optimized ETL pipelines using PySpark, Hadoop, HBase, Oracle SQL
- Processed 1M+ loan records across Consumer, Commercial & MFI domains
- Automated ingestion pipelines using Shell Scripts + Azkaban, improving processing speed by 20%
- Designed stored procedures for high-accuracy data ingestion into Oracle DWH & HBase
- Ensured 98%+ data quality through validation, reporting & reconciliation
- Collaborated with BA / QA / Dev teams for requirement analysis, BRDs, and CRs
- Performed functional & performance testing of ETL workflows using JIRA & QTest
- Debugged production issues & worked on API integrations
- Automated testing workflows reducing manual efforts by 30%
- Worked with Git, CI/CD, JIRA, and collaborated with QA & production teams
🔗 GitHub: https://github.com/theharshkonda/aws-etl-pipeline-apache-spark
- Built a fully serverless ETL pipeline using AWS Glue (PySpark), S3, Athena
- Automated schema detection using Glue Crawlers
- Converted CSV → Parquet for high-performance querying
- Designed within AWS free tier & ensured scalable architecture
🔗 GitHub: https://github.com/theharshkonda/Dhanvantari
- Tech: React Native, Node.js, Express, MySQL, AWS
- Features: Ayurvedic chatbot, mental-health support, doctor booking
- Managed backend workflows & clinical decision data
Python • SQL • Java • JavaScript • TypeScript • PySpark
Apache Spark • Hadoop • HBase • Parquet • ETL Pipelines • Data Validation
AWS Glue • S3 • Athena • Lambda • EC2 • RDS • IAM • Docker
React • React Native • HTML • CSS
Node.js • Express.js • Flask
Git • Linux • Jenkins • Airflow • JIRA • Confluence
