📝 My Journey in Code and Beyond
Welcome to a curated walkthrough of my education, experience, and projects that shape my path as a Software Engineer and Tech Enthusiast.
🎓 Academic Voyage
Master of Science in Computer Science
University of Central Florida, 2024-2026
Exploring advanced topics from Algorithms to Machine Learning, I am committed to transforming data into insightful solutions and scalable applications.
Bachelor of Technology in Computer Science and Engineering
Sri Venkateswara University, 2017-2020
With a strong foundation in software engineering, I embarked on my professional journey equipped with versatile skills in programming and problem-solving.
Diploma in Computer Engineering, SBTET
Sree Vidyanikethan Engineering College, 2014 - 2017
Developed foundational skills in software engineering and computer science, with a strong focus on Software development and programming principles.
💼 Professional Experience
Software Engineer, Impetus Inc.
May 2022 - June 2024
Clients : Cummins Inc., LBrands(Bath&Body Works) and NPD
Pioneered performance optimization and data management for a variety of enterprise systems, achieving substantial improvements:
- Data Transformation & Optimization: Led the migration of complex SAS stored procedures to PySpark on Databricks, significantly boosting processing performance and scalability.
- ETL Workflow Orchestration: Designed ADF pipelines to integrate seamlessly with PySpark-based workflows, ensuring efficient and reliable data movement.
- Data Migration: Spearheaded the migration from Informatica and Teradata to Snowflake for Cummins, enhancing data retrieval and storage efficiencies.
- Enhanced BI Capabilities: Integrated ETL data with Oracle Business Intelligence (OBIEE) for improved visualization and reporting.
- Technical Exploration: Conducted a Proof of Concept (POC) using Scala for multi-platform data ingestion.
- Tech Stack: Python, PySpark, SQL, Snowflake, Databricks, Scala, Informatica, Teradata.
Software Engineer, Exafluence Inc.
Aug 2020 - May 2022
Clients : AWS(Amazon Web Services)
Focused on building scalable healthcare applications and real-time data pipelines:
- SQL-to-Spark Conversion: Converted intricate SQL procedures to Spark, building scalable ETL workflows using Java and Spark SQL.
- Data Warehouse Modernization: Implemented Apache Airflow on Dataproc clusters to streamline data processing workflows.
- FHIR Healthcare Application: Played a critical role in developing EXF-FHIR, a healthcare data application supporting CRUD and version tracking, and leveraged Spark and Kafka for HL7 FHIR-compliant data processing.
- API & ETL Development: Created RESTful FHIR APIs with Java and Spring Boot and built ETL modules for real-time data processing.
- Tech Stack: Java, Spark, Spark SQL, Hive, Apache Airflow, Spring Boot, Kafka, MongoDB, ReactJS, Python.