Making Data Trustworthy.

Your Data Has a Trust Problem. I Fix It.

Data engineering, data quality and governance work for teams whose data is fragmented, inconsistent or just hard to trust. I find where it actually breaks and fix the flow, not just the symptom.

Let's Talk About Your Data
8+Years of experience
5Industries served
Portrait of Chandraprakash Jha Chandraprakash Jha
Data Engineering & Data Quality

“Bad data creates bad decisions.”

Messy / Fragmented Data
Engineering
Quality Controls
Governance
Trusted Data
Better Decisions

Proof, Not Promises

Real Work, Real Code

Two projects built to show the approach, not just describe it.

Data Quality Engineering

Data Quality Framework with Automated Validation and Profiling

Built a data quality framework to profile datasets and validate data across multiple tables in Snowflake. Checks cover null validation, uniqueness, domain constraints, regex validation and row count monitoring.

Demo project built to showcase the approach, using sample data rather than a live production dataset.

SQLPythonSnowflake
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Data Engineering + Quality

End-to-End ETL Pipeline with Automated Data Quality Monitoring

Built an end-to-end ETL pipeline moving data from Postgres into Snowflake with quality validation built directly in: null checks, duplicate detection, referential integrity and business rule enforcement.

Demo project built to showcase the approach, using sample data rather than a live production dataset.

SQLETLPostgreSQLSnowflake
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Why Work With Me

What You Actually Get

Someone who treats data quality as engineering, not an afterthought bolted on at the end.

8+ years across EdTech, Cybersecurity, Healthcare, Utilities and Telecom — different industries, the same root problems.

A real toolset: SQL, Python, Databricks, Snowflake, Azure Data Factory, AWS Glue, Airflow, Talend, Great Expectations, Collibra.

Direct communication. No jargon for its own sake, no overpromising on what data work can fix.

In My Own Words

How I Actually Think About This

Data Integration

Why the Same Customer Exists in Three Different Systems

Data Reliability

How to Catch a Data Pipeline That's Failing Silently

Data Quality

What Data Quality Actually Means
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Let's Talk

Tell Me About Your Data Problem

Freelance project, full-time role, or just have a question? I read every message.

Prefer email? hello@chandraprakash.tech · LinkedIn