Jeevaharan

Jeevaharan M J

Data Engineer | BI & Analytics

Building scalable data pipelines and analytics platforms that turn data into decisions.

Open to full-time opportunities
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About Me

I’m Jeevaharan, a data professional with 4 years of experience building scalable data platforms and analytics solutions across industrial, supply chain, financial services, and healthcare domains. My work focuses on data engineering and cloud-based systems, where I’ve designed high-performance data pipelines, orchestrated complex workflows, and supported large-scale migrations from on-premises systems to cloud platforms such as AWS, Azure and Snowflake.

I’ve also worked on generative AI and LLM-based proof of concepts, building chatbot and AI-driven solutions that integrate with enterprise data systems. I hold a Master’s degree in Data Science from the University at Buffalo (SUNY), with a strong foundation in statistical data mining, machine learning, and data-intensive computing.

I enjoy building reliable, maintainable data systems and collaborating with teams to solve real-world problems at scale.

Experience

Intern - Data Engineer

New Era Cap
Buffalo, NY Sep 2025 - Dec 2025
  • Built an end-to-end Snowflake and Azure ML-based data platform for enterprise sales forecasting, enabling multi-year global analysis with ~91% prediction accuracy.
  • Delivered data-driven forecasting insights through cleaned, well-modeled datasets and an Azure-hosted dashboard to support supply chain decision-making.
Azure Machine Learning Snowflake Azure Data Lake Forecasting Supply Chain Analytics

Associate - Data Engineer / Analyst

Cognizant Technology Solutions
Chennai, India Jun 2021 - Jul 2024
  • Designed and optimized large-scale distributed data pipelines using PySpark, AWS EMR, and Snowflake, improving processing performance and scalability across enterprise workloads.
  • Led a PoC to build a Generative AI chatbot for an enterprise financial services platform, using GPT-3.5 and Retrieval-Augmented Generation (RAG) to improve information retrieval and response speed.
  • Built analytics and monitoring solutions (Power BI, dbt, Snowflake) that reduced processing time by up to 50% and improved operational visibility and reliability.
Snowflake SQL PySpark AWS EMR Data Build Tool (DBT) Azure Databricks Power BI Generative AI

Intern - Data Engineer

Cognizant Technology Solutions
Chennai, India March 2021 - June 2021
  • Implemented secure, real-time data pipelines using StreamSets CDC, Airflow, and Snowflake, accelerating SQL Server-to-Snowflake migration and reducing data latency.
  • Strengthened data governance and reliability by developing column-level security policies and orchestrating Spark workflows on AWS.
Snowflake AWS SQL StreamSets JavaScript ETL Python

Education

University at Buffalo (SUNY)

Master of Professional Studies (MPS), Data Sciences and Applications

Aug 2024 - Dec 2025 | CGPA - 4.0/4.0

Coursework: Data Intensive Computing, Statistical Data Mining, Machine Learning, Probability and Data Analysis.

R.M.K Engineering College

Bachelor of Engineering (BE) - Electrical and Electronics Engineering

Aug 2017 - June 2021 | CGPA - 8.89/10

Coursework: Problem Solving and Python Programming, Microprocessors and Microcontrollers, Introduction to C Programming, Object Oriented Programming.

Recognitions

Always Striving, Never Settling

Cognizant Technology Solutions
September 2023

Recognized for successfully designing and implementing robust and performance-optimized ETL pipelines, supporting critical business reports and decisions.

Working as one

Cognizant Technology Solutions
August 2022

Recognized for outstanding team collaboration and successful migration from Cloudera Hadoop to an AWS-based Snowflake solution, delivering significant cost savings.

Skills

Programming

Python Java SQL JavaScript Scala Shell Scripting R

Data Engineering & Analytics

Apache Spark Hadoop Streamsets Kafka Airflow Hive Data Build Tool (DBT) Power BI Tableau

Cloud

AWS GCP Azure Snowflake Databricks

Gen AI/ML

LangChain Vector Databases Prompt Engineering LLM Predictive Analytics & Time Series Forecasting

Databases

PostgreSQL MongoDB Oracle MySQL SQL Server

DevOps

Docker Azure Devops Kubernetes Terraform Git GitLab CI/CD

Projects

Heart Attack Prediction

Sales Analytics Platform using Azure Databricks

End-to-end analytics platform built on Azure Databricks using the Medallion Architecture.

Azure Databricks PySpark Power BI Azure Data Lake gen2 Azure Data Data factory
Code
Gen AI Job Assistant

Gen AI Job Assistant

GenAI-powered job assistant using Retrieval-Augmented Generation (RAG) to match profiles with suitable roles.

Python LangChain OpenAI GPT 3.5 Weaviate Streamlit
Data Pipeline

Heart Attack Risk Analysis & Prediction

Applied machine learning and statistical analysis to predict heart attack risk from clinical data.

Python SQLite EDA Database Design Machine Learning
Code
ETL Automation

Data Professional Survey Dashboard

Interactive Power BI dashboard analyzing salaries, skills, demographics, and job satisfaction among data professionals.

Power BI Data Cleaning & Transformation Excel Power Query Data Analytics
Code

Blogs

Data Pipeline

Building a Retrieval-Augmented QA Chatbot

Building a QA chatbot with memory using Langchain, Faiss, Streamlit and OpenAI (Retrieval-Augmented Generation (RAG)).

Medium · 5 min read
Data Pipeline

Conversational AI with Cohere

RAG chatbot using Cohere with Conversation Buffer Memory and prompt template.

Medium · 5 min read

Get In Touch

I’m actively seeking full-time opportunities in data engineering and analytics. If you’d like to discuss potential roles, collaborations, or opportunities, feel free to reach out, I’d be happy to connect.

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