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sneha yadav

@snehayadav1

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Data Engineer and Data Analyst crafting scalable ETL pipelines on Azure and AWS.

India

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What I'm looking for

I’m looking for a role where I can own ETL/ELT pipelines, improve data quality, and optimize performance on modern cloud stacks. I want to work with teams that value automation, reliability, and data products that drive real decisions.

I’m a Data Engineer and Data Analyst focused on building reliable, scalable data pipelines end to end. I design ETL/ELT workflows, automate data transformations, and add data quality checks so teams can trust the data.

At Astegic Infosoft (May 2024–Present), I developed scalable ETL pipelines using PySpark, SQL, and Azure Databricks. I also built integration and migration flows with Azure Data Factory, optimized Spark jobs to reduce processing time, and worked across Azure and AWS cloud environments.

Previously, as an Associate Data Analyst at Spotrack (Sep 2023–May 2024), I created Spark SQL pipelines for large-scale JSON and structured data and supported analytics for vehicle and fuel monitoring systems. I’m equally energized by modern analytics and AI—building dbt + Snowflake ELT pipelines and a RAG-based AI search system using LangChain and vector databases.

Experience

Work history, roles, and key accomplishments

Current

Data Engineer & Analyst

Current

Astegic Infosoft

May 2024 - Present (2 years 1 month)

Designed and developed scalable ETL pipelines using PySpark, SQL, and Azure Databricks; built Azure Data Factory workflows for multi-source integration and on-prem to cloud migrations. Automated data transformations with data quality checks and optimized Spark jobs to reduce processing time.

Pyspark SQL Azure Databricks Azure Data Factory ETL ELT Data Quality AWS S3

Associate Data Analyst

Spotrack

Sep 2023 - May 2024 (8 months)

Developed Spark SQL pipelines to process large-scale JSON and structured data for vehicle and fuel monitoring analytics. Built automated data processing workflows using Python and SQL to support analytics operations.

Python SQL Data Pipelines Data Automation Vehicle Monitoring Analytics Fuel Monitoring Analytics

Education

Degrees, certifications, and relevant coursework

VIT Vellore

Master of Science, Data Science

2021 - 2023

Grade: GPA: 8.7/10.0

Activities and societies: Projects included a real-time Kafka+Spark data pipeline with Delta Lake (Bronze/Silver) and monitoring/fault-tolerance; ELT pipelines with dbt+Snowflake including star schema modeling and dbt tests/documentation; and a RAG-based AI search system using FAISS/Pinecone, LangChain workflows, and an API service.

Earned an M.Sc. in Data Science at VIT Vellore from Sep 2021 to May 2023 (GPA: 8.7/10.0).