Building robust data pipelines, ETL architectures, and modern data stacks that turn raw data into actionable insights.

The client was manually exporting data from 5+ social media platforms (YouTube, Facebook, Instagram, TikTok) weekly, leading to inconsistent reporting and 8+ hours of analyst time wasted on data collection instead of insights.

A fast-growing corporate gifting platform had data scattered across their operational database, Snowflake historical data, and third-party APIs. Executive team lacked visibility into key business metrics and couldn't access insights without engineering support.

Tableau Server was experiencing severe performance issues with 1-hour+ refresh times, bottlenecked backgrounders, and frustrated business users unable to access timely reports. The two-node cluster was under-optimized and misconfigured.
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