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Sri Sai Vidyadhari Ghanta

@srisaividyadharighanta

AWS Certified Data Engineer with 2 years of experience in Python, PySpark, SQL, AWS, Snowflake, and ETL, building scalable cloud data pipelines.

India

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What I'm looking for

Seeking Data Engineer opportunities where I can build scalable cloud data platforms, optimize ETL pipelines, and solve complex data challenges using AWS, Python, PySpark, SQL, and Snowflake. Looking for a collaborative environment that values innovation, ownership, continuous learning, and career growth while delivering measurable business impact.

At Capgemini, I build enterprise-scale data engineering solutions using AWS Glue, Lambda, PySpark, SQL, Snowflake, and Apache Airflow. I have delivered 15+ automated data pipelines, improved processing performance by 25–35%, and developed core Python data-handling frameworks for a large-scale merger project processing millions of records. I also lead offshore delivery for a team of four engineers and collaborate closely with analysts and business stakeholders to deliver reliable, high-quality data solutions.

Previously, at Quantiphi Analytics and Barclays, I developed LLM-based document extraction, computer vision damage assessment, and NLP-powered troubleshooting solutions. My achievements include earning three AWS certifications (Cloud Practitioner, Developer Associate, and Data Engineer Associate), receiving multiple Spot Awards and the ACE Award at Capgemini, and being recognized for delivering high-impact, scalable data engineering solutions.

Experience

Work history, roles, and key accomplishments

Current

Associate Consultant

Current

Capgemini

Sep 2024 - Present (1 year 11 months)

Designed and developed 15+ automated data pipelines using AWS Glue and Lambda, reducing processing time by 25-35%. Led offshore development activities for a team of 4 engineers on a high-impact enterprise merger project.

AWS Glue AWS Lambda Python PySpark SQL Snowflake Data Modeling ETL Data Pipelines Streaming Data Stored Procedures Iceberg Orchestration CloudFormation IAM S3 Athena EC2

Machine Learning Engineer Intern

Quantiphi Analytics

Feb 2024 - Aug 2024 (6 months)

Designed prompt engineering strategies for LLMs and owned the end-to-end ML lifecycle. Engineered a car damage assessment system using YOLOv8 and MobileNet, and built an LLM-powered data extraction pipeline using LangChain and Gemini.

Prompt Engineering LLM Lang Chain Gemini YOLOv8 data preprocessing Model Training Model Evaluation Deployment Python Machine Learning Deep Learning

Explorer Developer Intern

Barclays

May 2023 - Jul 2023 (2 months)

Built a Chrome Extension-based Similar Problem Predictor using Python, Flask, MySQL, and NLP, achieving 70-85% prediction accuracy. Reduced troubleshooting time by 23% and improved prediction speed by 80%.

Python Flask MySQL NLP TF IDF Cosine Similarity Chrome extensions Machine Learning