Mumbai, IndiaAvailable for opportunities

Senior Data Engineer — SAS · PySpark · Azure Databricks · GCP · Snowflake

Building modern data platforms from complex data.

I'm a Data Engineer Professional with 7+ years of experience in data engineering, SAS, ETL, data warehousing and analytics. My work spans traditional enterprise data platforms and modern cloud-native technologies with a focus on scalable pipelines, legacy modernization and reliable data platforms.

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SASPySparkApache SparkDatabricksDelta LakeGCPSnowflakeSQL

Shubham Yadav

Senior Data Engineer

Open to opportunities

7+ Years

Data Engineering Experience

SAS

Enterprise ETL & Data Warehousing

Cloud

GCP & Azure

Modern Data

PySpark · Databricks · Delta Lake

Data Platforms

Snowflake · PostgreSQL · Oracle · MySQL

Visualization & Reporting

SAS Viya 3.5

About

Turning enterprise data into modern data platforms.

I started my career working extensively with SAS, ETL, data warehousing and enterprise reporting. Over the years, I've expanded into modern data engineering and cloud technologies PySpark, Azure Databricks, Delta Lake, GCP and Snowflake.

I enjoy working on complex data problems from migrating legacy platforms and designing ETL pipelines to building scalable cloud-based data processing solutions.

My approach combines strong fundamentals in data engineering with modern cloud technologies, bridging traditional enterprise systems and next-generation data platforms.

What I specialize in

Data Engineering
ETL / ELT Development
Cloud Data Migration
Data Platform Modernization
Distributed Data Processing
Data Warehousing
Lakehouse Architecture
Data Governance
Data Quality
Enterprise Analytics

Technical Expertise

A stack built across two eras of data engineering.

Enterprise SAS foundations, extended into modern distributed and cloud-native platforms.

Data Engineering

Python
PySpark
Apache Spark
SQL
ETL / ELT
Data Warehousing
Data Transformation
Data Quality
Distributed Processing
CI/CD

SAS

Base SAS
Advanced SAS
SAS DI Studio
SAS Viya 3.5
SAS CI360
SAS Intelligent Decisioning

Databricks

Azure Databricks
PySpark
Delta Lake
Delta Live Tables / Lakeflow
Auto Loader
Unity Catalog
Delta Sharing
Medallion Architecture
SCD Type 1 / Type 2
Data Governance

Google Cloud

Google Cloud Platform
Cloud Storage / GCS
Dataproc
Cloud SQL PostgreSQL
Storage Transfer Service
GCP Data Migration
Spark on Dataproc

Azure

Azure Databricks
ADLS Gen2
Azure SQL
Azure Data Engineering

Snowflake

Snowflake
Snowpipe
Streams
Tasks
Stored Procedures
Data Sharing
Medallion Architecture

Databases

PostgreSQL
Oracle
MySQL
Azure SQL
Snowflake

Governance & Security

Unity Catalog
RBAC
Row-Level Security
Column-Level Security
Data Sharing
Audit & Monitoring
Data Quality

Featured Experience

Senior Consultant / Senior Data Engineer

Working across enterprise data engineering, SAS modernization and cloud data platforms.

Focus Area

Enterprise Data Engineering & Cloud Modernization

Developing and maintaining enterprise ETL pipelines.
Working with SAS and SAS DI Studio for data integration.
Design the Data Model for Silver and Gold Layer(Dimensional Modeling)
Designing data transformation workflows using PySpark.
Working with Databricks and Delta Lake.
Building and optimizing cloud-based data processing solutions.
Supporting migration of legacy data workloads to cloud platforms.
Working with GCP services including Dataproc, GCS and Cloud SQL.
Implementing data validation and quality checks.
Troubleshooting performance, schema and data processing issues.
Working with modern data architecture and governance practices.

Featured Projects

Migrations and platforms, end to end.

Three representative builds — from legacy SAS modernization to lakehouse architecture and Snowflake automation.

Project 01

SAS Viya → GCP Modernization

Modernizing enterprise SAS workloads for the cloud.

A large-scale modernization initiative focused on migrating SAS data and workloads on a GCP Platform.

SAS ViyaStorage Transfer Service/Data FlowGoogle Cloud StorageDataproc / PySparkCloud SQL PostgreSQL

Technology Stack

SAS ViyaParquetGoogle Cloud StorageDataprocPySparkCloud SQL PostgreSQLStorage Transfer ServiceCLoud ComposerData Flow

Project Focus

Modernize legacy data workflows while maintaining data integrity, reliability and compatibility with downstream processes.

Key Areas

Source System Understanding
Gathering the Data and Job Inventory
SAS dataset modernization
Parquet conversion
Storage Transfer Service
Cloud data migration
GCS-based storage
PySpark transformations
Data validation
PostgreSQL-based curated data layer

Project 02

Databricks Lakehouse Platform

Building scalable data pipelines using modern lakehouse architecture.

Designed and worked with a Medallion Architecture consisting of Bronze, Silver and Gold layers.

SourcesAutoloader/API/LakeflowBronzeSilverGold(Facts & Dimension Tables)Power BI / Data Sharing

Technology Stack

DatabricksPySparkDelta LakeDLT / LakeflowAuto LoaderUnity CatalogDelta SharingCI/CD

Key Areas

Solution Design
Silver / Gold Data Modeling
Technical Implementation
Incremental data ingestion
Auto Loader
Streaming and batch processing
Schema evolution
Delta Lake
SCD Type 1 / Type 2
Data quality
Unity Catalog
Data governance
Data sharing
Leading the team of size 3 developer

Project 03

Snowflake Data Engineering POC

Exploring modern Snowflake data engineering patterns.

Designed a proof-of-concept covering incremental ingestion, change processing and workflow automation.

Source DataSnowpipeStreamsTasks / Stored ProceduresCurated Tables

Technology Stack

SnowflakeSnowpipeStreamsTasksStored Procedures

Key Areas

Continuous data ingestion
Incremental processing
Change data capture patterns
Automated workflows
Data transformation
Medallion-style data modeling

Project 04

Data Warehousing & Reporting

Centralized Data storage solution for analysis, reporting and machine learning use case

Designed and maintained enterprise ETL pipelines using SAS DI and SAS Viya for data warehousing and reporting.

Source DataSAS DIRawStageWarehouseMart/Reporting/Analysis

Technology Stack

SAS programming SAS DISAS MarcosOracle ProceduresSAS Viya 3.5Dashboard Reporting

Key Areas

ETL pipeline Development
Data Validation
Oracle to SAS Conversion
Job Optimization
Business Management Dashboard Creation
API Creationg for Data Tranfer

Domain Experience

Regulated, data-heavy industries.

Insurance

Experience working with enterprise insurance data, analytics and modernization initiatives.

Banking

Experience working with enterprise banking data and data processing workflows.

Education & Certifications

Formal grounding, verified skills.

Education

IIT Jodhpur

Convocation — June 2026

Postgraduate Diploma in Data Engineering

Distributed SystemsData EngineeringCloud TechnologiesBig Data ProcessingModern Data Platforms

University of Mumbai

Completed — 2019

Bachelor's Degree in Information Technology

Certifications

SnowPro Core

Snowflake

Snowflake Data Platform and Data Engineering

View certificate

DP-203

Microsoft Azure

Azure Data Engineer Associate

Gallery

Professional & convocation photos.

Professional

Professional headshot

Receiving the Postgraduate Diploma from senior police officials on stage — Receiving the PGDE from Rajasthan Police leadership

Portrait holding the IIT Jodhpur degree folder — IIT Jodhpur Convocation, June 2026

Convocation photo booth — Grad 2026 — #Grad2026 · #Convocation2026

Contact

Let's build something meaningful with data.

If you're working on data engineering, cloud modernization or modern data platforms, I'd be happy to connect.

Shubham.yadav.5497@gmail.com

Phone

+91 7021722812

linkedin.com/in/shubham-yadav

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