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@ Accenture · Data Engineering · Oracle Certified Java Dev
Associate Software Engineer at Accenture with hands-on experience in Azure Databricks, Apache Spark, and building batch & streaming ELT pipelines using PySpark and Delta Lake. Oracle-certified Java developer with a B.Tech in Computer Science and Business Systems — passionate about scalable data platforms and cloud technologies.
</About Me>
Hi, I'm Balaganesh S B — Associate Software Engineer at Accenture, working at the intersection of data engineering and cloud technology. I hold a B.Tech in Computer Science and Business Systems from Panimalar Engineering College (CGPA: 8.97, 1st Class with Distinction).
I specialize in building batch and streaming ELT pipelines using Azure Databricks, Apache Spark (PySpark & Spark SQL), and Delta Lake, following Medallion Architecture principles (Bronze → Silver → Gold). I'm an Oracle-certified Java developer with solid foundations in Spring Boot, Angular, and full-stack development — gained through my internship at Wipro TalentNext.
Beyond code, I express creativity through photography, capturing stories in everyday moments. I also enjoy movies and fitness — balancing a tech-driven mind with an active lifestyle.
</Experience>
Accenture
Current
Associate Software Engineer
Mar 2026 – Present
- Azure Databricks & Apache Spark: Completed role-based training on Azure Databricks, building batch and streaming ELT pipelines using PySpark, Spark SQL, and Delta Lake following Medallion Architecture (Bronze → Silver → Gold) principles.
- Data Engineering Solutions: Currently contributing to enterprise data engineering solutions on cloud platforms, designing scalable pipelines for large-scale data ingestion and transformation.
- Structured Streaming & Delta Lake: Gained hands-on experience with real-time data processing using Structured Streaming and ACID-compliant Delta Lake tables for reliable data lakes.
</Skills>
Data Engineering Stack
Azure Databricks
Apache Spark
Delta Lake
SQL
Full-Stack & Mobile
Java
Android SDK
Spring Boot
Angular
React
SQLite
HTML5
CSS3
Bootstrap
JavaScript
Python
C
Tools & DevOps
Git
GitHub
Docker
</Certifications>
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Databricks Certified Data Engineer Associate
Databricks Corporation
May 2026
Oracle Certified Generative AI Professional
Oracle Corporation
Jul 2024
Oracle Certified Java SE 11 Professional
Oracle Corporation · Score: 90%
Apr 2024
</Projects>
Enterprise Retail Lakehouse Platform
Built an end-to-end retail lakehouse on Databricks using the Medallion architecture, Auto Loader, Delta Live Tables, Structured Streaming, and Databricks SQL for scalable analytics.
Tech Stack:
Databricks • PySpark • Delta Lake • Auto Loader • Delta Live Tables (Lakeflow) • Structured Streaming • Unity Catalog • Databricks SQL • Databricks Workflows • Spark SQL • GitHub
Metadata-Driven-ETL-Framework
Developed a metadata-driven ETL framework that automates configurable data ingestion, SCD processing, and data quality using generic pipelines.
Tech Stack:
Databricks • PySpark • Delta Lake • Auto Loader • Delta MERGE • Unity Catalog • Databricks Workflows • Spark SQL • SQL • GitHub
Banking Streaming Analytics Platform
Built a real-time banking analytics platform for streaming transaction processing, fraud detection, and KPI monitoring.
Tech Stack:
Databricks • PySpark • Spark Structured Streaming • Delta Lake • Auto Loader • Unity Catalog • Databricks Workflows • Lakeview • Spark SQL • GitHub
SF Fire Lakehouse Pipeline
Built an end-to-end Lakehouse pipeline on Databricks using 4.38M+ San Francisco Fire Department records. Implemented batch, streaming (Auto Loader), and Delta Live Tables pipelines using the Medallion Architecture for scalable and optimized data processing.
Tech Stack:
Databricks • PySpark • Delta Lake • Delta Live Tables • Auto Loader • Spark SQL • Structured Streaming • GitHub
Food Delivery Data Pipeline
Developed batch and streaming data pipelines for food delivery datasets using PySpark and Delta Lake. Implemented Auto Loader, incremental MERGE/UPSERT processing, and SQL analytics to deliver analytics-ready data.
Tech Stack:
Databricks • PySpark • Delta Lake • Auto Loader • Spark SQL • Structured Streaming • GitHub
