I turn data into insights!

I’m Shilpa Das, a Lead Data Architect & Engineering Consultant helping businesses streamline data pipelines, optimize AI-driven analytics, and scale cloud infrastructure. With 10+ years of experience, I’ve built high-performance data solutions for Fortune 500 companies and fast-growing startups.

Need to modernize your data stack, automate workflows, or unlock AI insights? Let’s make your data work for you.

A bit more about me

I turn messy data into powerful insights and clunky pipelines into seamless automations. If your data needs a fix, I’m the engineer who makes it work—fast and smart.

Building Data Solutions & Sharing Knowledge

From designing scalable data pipelines to teaching the next generation of data professionals, my journey is all about creating, solving, and sharing. With 10+ years in data engineering, I’ve helped businesses streamline data workflows, optimize AI-driven analytics, and scale cloud infrastructure.

Beyond building data solutions, I run Shilpa Data Insights, a YouTube channel where I teach data engineering and data science—breaking down complex concepts into practical, real-world lessons.

Data is everywhere, but making it work? That’s where I come in. I build smart data pipelines and AI-driven analytics to turn raw data into real impact.

With Shilpa Data Insights, I help businesses optimize and aspiring engineers upskill—because great data needs great minds behind it.

What Services I’m Providing

Data Engineering & Pipeline Development

Building scalable, high-performance data pipelines to process, transform, and optimize large datasets. Expertise in PySpark, Airflow, Databricks, and cloud platforms (AWS, Azure).

Cloud Data Architecture

Designing and implementing modern data warehouses and lakehouses on AWS, Azure, and GCP to support AI-driven analytics and business intelligence.

AI/ML Data Integration

Enabling seamless integration of AI/ML models into production environments, ensuring efficient model deployment, validation, and monitoring with ML Ops best practices.

Data Strategy & Consulting

Helping businesses modernize their data ecosystems, optimize cost-efficiency, and implement best practices for governance, security, and compliance.

Data Engineering Training & Mentorship

Through Shilpa Data Insights, I provide hands-on training in data engineering and data science, simplifying complex concepts for professionals and aspiring engineers.

AI/ML Data Integration

Enabling seamless integration of AI/ML models into production environments, ensuring efficient model deployment, validation, and monitoring with ML Ops best practices.

Need expert data solutions?

Let’s build something impactful.

Work Experience

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Lead Data Engineer | Impetus Technologies

(2022 – Present)

Architecting scalable data pipelines for high-volume processing, Leading AI/ML model integration and MLOps frameworks, Ensuring data governance, security, and optimization for enterprise clients.

Senior Big Data Engineer | Cognizant

(2021 – 2022)

Developed high-performance data pipelines using PySpark, Hive, and Airflow, Designed data orchestration workflows and optimized large-scale data ingestion, Worked on AI/ML model validation and deployment.

Technical Consultant | Adobe Systems

(2015 – 2021)

Built globally scalable data platforms for enterprise applications, Implemented BI solutions and data visualization using Power BI & Tableau, Enhanced AI-driven data workflows and cloud data management.

Trainee | HCL Technologies

(2013 – 2015)

Assisted in data integration and validation workflows, Developed automation scripts for data processing and system monitoring, Gained hands-on experience in cloud infrastructure and security.

My Portfolio

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What My Clients Says

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John Doe

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Jenna Smith

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Samuel Stevens

Stay In Touch

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