Aakash Yadav

Data Engineer

Gurugram, Haryana, India3 yrs 7 mos experience

AI Enabled

Key Highlights

Expert in SQL and Data Engineering with proven results.
Led successful data migrations to cloud platforms.
Passionate about transforming data into actionable insights.

Stackforce AI infers this person is a Data Engineer specializing in cloud-based data solutions for the healthcare sector.

Contact

aakash.yadav@carelon.com LinkedIn

Skills

Core Skills

Data EngineeringSqlCloud PlatformsBig Data

Other Skills

AWSAmazon S3Amazon Web Services (AWS)Apache AirflowArtificial Intelligence (AI)Azure Data FactoryAzure Data LakeAzure SQL Data WarehouseCode ReviewData IntegrationData PipelinesDatabricksETLExtract, Transform, Load (ETL)GCP

About

🚀 With 3.2 years of experience, I specialize in SQL, Python, and cloud-based platforms to design and deliver data-driven solutions. I thrive on transforming raw data into actionable insights, building scalable pipelines, and enabling smarter business decisions. I bring hands-on expertise in Snowflake, Databricks, ETL workflows, and data modeling, with a proven ability to bridge the gap between technical depth and business impact. My approach combines problem-solving, adaptability, and a passion for innovation in the evolving world of Data Engineering & AI. ⚡ What excites me most is working at the intersection of data, technology, and strategy — constantly learning, adapting, and pushing boundaries to create meaningful impact. 🌍 Beyond work, I’m deeply passionate about fitness, traveling, and music (both listening & creating) — pursuits that keep me balanced, creative, and inspired. I’m always open to connecting with professionals, sharing knowledge, and exploring opportunities to grow together.

Experience

Carelon

Data Engineer

Jul 2025 – Present · 8 mos

● Built and optimized SQL-based ETL pipelines for high-volume healthcare datasets
● Automated workflows with Apache Airflow, improving reliability and reducing manual work
● Tuned SQL & Snowflake queries, cutting execution times significantly
● Developed new data jobs and enhancements as per stakeholder requirements
● Leading a data migration project from on-prem SQL Server to Snowflake on GCP

SQLETLApache AirflowSnowflakeData Engineering

Mphrx

Data Engineer

Nov 2024 – Jul 2025 · 8 mos

Served as a Big Data Developer, responsible for migrating code from SSMS stored procedures to PySpark
DataFrames, focusing on optimizing performance and scalability.
Designed and developed scalable data pipelines on databricks to support pre-order calculations
Orchestrated workflows using Apache Airflow on AWS, ensuring seamless automation and efficient task
scheduling. Developed unit test using Cursor AI, streamlining processes and enhancing performance
Migrated SQL tables to Delta Lake format in Databricks and structured them using the Medallion
architecture (Bronze, Silver, Gold) to enable efficient, scalable, and reliable data processing.
Achieved a 65% reduction in processing time compared to traditional SSMS, significantly improving
efficiency and cutting operational cost

PySparkDatabricksApache AirflowAWSBig DataData Engineering

Vodafone

2 roles

Senior Executive

Promoted

Aug 2023 – Nov 2024 · 1 yr 3 mos · Pune, Maharashtra, India · Hybrid

Served as a Data Engineer at VOIS, responsible for developing, patching, and maintaining data pipelines
based on bug reports and enhancement requests.
Led the end-to-end migration of data pipelines and workflows from Azure SQL Data Warehouse to
Databricks, improving scalability and processing efficiency.
Migrated traditional Informatica ETL pipelines to airflow while migrating code from SQL to databricks .
Designed and implemented a data pipeline in Apache Airflow, orchestrating workflows for reliable and
automated data movement

Data EngineeringApache AirflowDatabricksAzure SQL Data WarehouseCloud Platforms

Graduate Engineer Trainee

Aug 2022 – Aug 2023 · 1 yr · Pune, Maharashtra, India · Hybrid

Served as a Data Engineer at VOIS, responsible for developing, patching, and maintaining data pipelines
based on bug reports and enhancement requests.
Led the end-to-end migration of data pipelines and workflows from Azure SQL Data Warehouse to
Databricks, improving scalability and processing efficiency.
Migrated traditional Informatica ETL pipelines to airflow while migrating code from SQL to databricks .
Designed and implemented a data pipeline in Apache Airflow, orchestrating workflows for reliable and
automated data movement

Data EngineeringApache AirflowDatabricksAzure SQL Data WarehouseCloud Platforms