Building the
flow behind
trusted data.
I’m Yash Dantale — a data engineer working across cloud infrastructure, lakehouse platforms and data quality. I turn complex data systems into something dependable.
73°51' E
ACTIVE
BEYOND THE PIPELINE
Good data engineering is invisible.
Its impact isn’t.
I care about the layer beneath the interface: the infrastructure that stays reproducible, the pipelines that stay performant, and the quality checks that make people trust what they see.
Infrastructure and workflows designed to be understandable, repeatable and maintainable.
Validation, lineage and governance belong in the flow—not as an afterthought.
Balance performance, scale and cost with outcomes that can be measured.
FROM SOURCE TO TRUST
Make complexity
visible.
Reliable data products are built as a chain of observable, testable stages. This is the mental model behind my work across cloud infrastructure, processing and quality.
Engineering impact
Reported improvements from prior engineering work; each metric describes a different outcome.
Platform footprint
Illustrative visual only—not production telemetry or a time-series chart.
THE WORK SO FAR
Learn. Build.
Improve.
From data platforms and large-scale migration to cloud infrastructure and enterprise data quality, each chapter has added another layer to how I approach engineering.
Deloitte
Data Engineer 2
Building AWS infrastructure for Ataccama Data Quality at a leading U.S. banking organization, across cloud foundations, Databricks workflows and enterprise data governance.
Cognizant Technology Solutions
Data Engineer
Engineered lakehouse platforms, ingestion frameworks, MDM / Golden Record solutions, APIs and governed ETL pipelines across enterprise data environments.
Modern College of Engineering · SPPU
B.E. Electronics & Telecommunications
Engineering degree with Honors in Artificial Intelligence & Machine Learning. CGPA 9.34 / 10.
Databricks Certified Data Engineer Associate Databricks Certified Generative AI Engineer Associate Microsoft Azure Data Fundamentals GSI NVIDIA Technologies Curriculum
SYSTEMS WITH A PURPOSE
Work that moves
data forward.
Enterprise platforms and personal builds, connected by one question: how can this system be more useful, resilient and clear?
OUTSIDE THE DAY JOB
Small experiments.
Useful tools.
SQL Lineage Visualizer
Interactive table- and column-level SQL lineage with multi-dialect parsing, focus highlighting and export.
Python · FastAPI · SQLGlot · React FlowSparkTune Pro
A resource calculator that helps data engineers reason about Spark cluster sizing and configuration.
Apache Spark · React · ViteEther-Cloud
A decentralized cloud-storage application built around Ethereum smart contracts and IPFS storage.
Ethereum · IPFS · TruffleTHE MATERIALS
Tools are choices.
Principles are constant.
Cloud, data processing, infrastructure-as-code and software development. The stack changes with the problem; reliability and clarity stay the same.
Let’s make
something matter.
Interesting engineering work, thoughtful collaborations, or a conversation about building dependable data systems — my inbox is open.
Get in touch