Hello, I'm

Sreenath R

I am a

Specializing in building scalable Lakehouse architectures and Generative AI solutions. Expert in transforming raw data into actionable insights using Databricks and Spark.

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0+ Pipelines Migrated

0+ Years Exp.

0 Certifications

Certified

Databricks Pro

Experience

5+ Years

200+ Pipelines

Available

About Me

Senior Data Engineer & GenAI Specialist

Senior Data Engineer with 5+ years of experience at Accenture and Cognizant, architecting large-scale Lakehouse solutions on Azure Databricks, migrating 200+ legacy pipelines, and building enterprise Generative AI applications using RAG and LLMs.

City: Bangalore, India

Degree: B.Tech ECE

Email: sreenath.1998@gmail.com

Freelance: Available

What Sets Me Apart

Lakehouse at Scale

200+ pipelines migrated. 500M+ records/month. Sub-35% latency gains with DLT & Medallion Architecture.

Generative AI Engineering

RAG pipelines, Vector DBs, LLM fine-tuning, and prompt engineering on the Databricks platform.

Governance & DevOps

Unity Catalog, CI/CD via Databricks Repos, Azure DevOps — end-to-end enterprise-grade delivery.

Professional Certifications

Core Technology Stack

Specialized in building scalable Data Lakehouse architectures and Generative AI solutions on the Databricks platform.

Data Engineering

Azure Databricks Apache Spark Delta Lake PySpark SQL

Generative AI

RAG Pipelines LLM Fine-tuning Vector DBs LangChain Prompt Eng.

Cloud & DevOps

Azure Docker CI/CD Git Terraform

Professional Experience

5+ years delivering enterprise data solutions across Accenture and Cognizant.

Analytics Senior Analyst

Current

July 2024 – Present

Accenture, Bengaluru

Spearheading migration of 200+ legacy DataStage & Talend pipelines to Azure Databricks Medallion Architecture.
Engineered Auto Loader & Fivetran ingestion frameworks processing 500M+ records monthly with fault-tolerant pipelines.
Built declarative ETL/ELT using Delta Live Tables (DLT), reducing pipeline processing time by 35%.
Implemented Unity Catalog for centralized data governance, access control, and data lineage across all business units.

Senior Data Engineer

December 2020 – July 2024

Cognizant Technology Solutions, Bengaluru

Migrated Azure Synapse and Qlik Sense workloads to Databricks, rewriting T-SQL into optimized PySpark & Spark SQL.
Architected a CDC framework using Delta Lake MERGE and Time Travel for efficient incremental data processing.
Automated 120+ daily ETL jobs with ADF and Databricks Workflows, reducing manual scheduling by 83%.
Applied Z-Ordering, partitioning, and broadcast joins to meet stringent production SLAs at scale.

R&D Developer

July 2020 – January 2021

Ashtrix Robotics & Research Centre, Chennai

Engineered proprietary internal tools that boosted R&D team productivity by 40%.
Developed real-time firmware and software interfaces bridging AI algorithms with embedded systems.
Architected cross-platform integration modules for hardware sensor data acquisition and real-time AI inference.