Venkataram Poosapati

Lead Data Engineer at Atlassian

Seattle, US

Joined Nov 2025

About

Venkat Poosapati is a seasoned Data Engineer with deep expertise in building reliable data and AI infrastructure. He has led large-scale data initiatives at Meta, Atlassian, Intuit, Expedia, and Goldman Sachs improving platform performance, reducing costs and enabling AI-driven decision-making. His contributions span feature stores, ML pipelines, clickstream platforms, and enterprise data quality programs.

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Reputation:	323
Pageviews:	7.2K
Articles:	4
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Articles

Articles

Engineering Habits for Building Resilient Software

This article examines how integrating AI into the software development lifecycle (SDLC) is enabling teams to move from MVPs to large, resilient systems.

January 26, 2026

· 1,377 Views · 2 Likes

Implementing Automated Validation and Anomaly Detection

Ensure high-quality data in large-scale pipelines with automated validation, anomaly detection, and scalable frameworks that maintain accuracy and consistency.

December 23, 2025

· 2,155 Views · 1 Like

Bridging the Gap Between Data Lakes and Warehouses

Data lakehouses combine the flexibility of data lakes with the reliability, performance, and governance features of data warehouses.

December 23, 2025

· 1,467 Views · 2 Likes

From Chaos to Clarity: Building a Data Quality Framework That Actually Works

This article offers a practical, step-by-step guide to fix this by defining data quality goals, setting governance standards, adding monitoring, and building trust.

December 1, 2025

· 2,175 Views · 1 Like