Abhilash Pande — Senior Data Engineer.
Email: abhilash.pande5@gmail.com.
Location: Pune, Maharashtra, India.
7+ years experience. Skills: Snowflake, PySpark, Python, AWS, AWS Glue, AWS S3, AWS IAM, AWS CodeBuild, AWS CodePipeline, Matillion ETL, Terraform, CI/CD, Infrastructure as Code IaC, Data Vault Modeling, SCD2, ETL ELT, Data Warehouse, Data Lakehouse, Data Pipelines, Data Marts, SQL, Power BI, Azure Logic Apps, DBT, Git, OAuth, Data Governance, Compliance, Metadata Management.
Worked at EPAM Systems May 2022 to present. Worked at YASH Technologies October 2018 to May 2022. Projects: Financial Data Analytics Domain Data Migration, Real Estate Technology Domain Data Platform, Agri-Commodities Enterprise Platform Object Provisioning.
Education: MCA Savitribai Phule Pune University 2015–2018. BCA Rashtrasant Tukadoji Maharaj Nagpur University 2011–2015.
Certifications: SnowPro Core Certification, Microsoft Azure Fundamentals, AI Fluency Framework, Claude 101.
Awards: Spotlight Award Positive Participator, Star Achiever at EPAM Systems.
Open to New Opportunities · Pune, India
Abhilash Pande
Senior Data Engineer & Cloud Platform Specialist — building
the data infrastructure that powers enterprise analytics and decisions at scale.
I'm a Data Engineer and Cloud Platform Specialist with 7+ years designing and shipping
production-grade data infrastructure for enterprises across finance, real-estate, and agriculture.
My work spans the full stack — from raw ingestion to governed, analytics-ready data.
At EPAM Systems, I've delivered high-impact projects across the financial data & analytics,
real estate technology, and agri-commodities domains — migrating legacy systems to modern cloud architectures, building
self-service data platforms, and automating infrastructure with Terraform and CI/CD.
I specialize in Snowflake, and hold the SnowPro Core certification.
❄️
Snowflake Expert
Stored procedures, Secure Views, Data Sharing, external volumes, COPY INTO, and Data Vault architecture at enterprise scale.
⚙️
Platform Automation
Terraform IaC, PR-driven provisioning, AWS CodePipeline CI/CD, and Python metadata frameworks for zero-drift deployments.
☁️
Cloud Data Architecture
AWS Glue, S3, IAM, PySpark ETL pipelines, Azure Logic Apps workflow orchestration, and multi-cloud data lake design.
🏆
Recognized Performer
Star Achiever and Spotlight Award – Positive Participator at EPAM Systems. Delivering quality under pressure.
Technical Skills
Full-Stack Data Expertise
Every layer of the modern data stack — ingestion, transformation, modeling, governance, and infrastructure.
01 — Core
Data Platforms & Query
SnowflakePySparkPythonSQLDBTMatillion ETLInformaticaPower BI
Data GovernanceMetadata ManagementComplianceProduction SupportBusiness AnalysisStakeholder Mgmt
Career Journey
Professional Experience
7+ years shipping production data platforms for global enterprises.
EPAM Systems · Pune, India
Software Engineer — Data Engineer
May 2022 – Present · 3+ years · Full-time
● Current
Project: Financial Data & Analytics Domain — Data Migration
Built AWS Glue ETL pipelines using PySpark to migrate data from SQL Server to Amazon S3, improving scalability and eliminating manual data movement bottlenecks.
Designed Snowflake data ingestion using COPY INTO from S3 to enable high-volume, parallel data loading with optimal throughput.
Refactored legacy transformation logic into modular PySpark and Snowflake SQL components, significantly improving pipeline maintainability and runtime.
Migrated legacy stored procedures to Snowflake stored procedures, ensuring compatibility, performance, and easier change management.
Project: Real Estate Technology Domain — Data Platform Development
Developed Matillion ETL jobs to ingest and transform data into Snowflake staging and Data Vault models for analytics and reporting.
Designed Snowflake views, stored procedures, and SQL transformations to meet complex business and reporting requirements.
Built reusable, parameterized ETL frameworks and processed semi-structured JSON data using native Snowflake functions.
Implemented Secure Views, Data Sharing, and event-driven patterns in Snowflake to meet governance and data-access requirements.
Automated workflow orchestration using Azure Logic Apps and performed unit/integration testing to ensure data quality and reliability.