Faizan K.

Top Rated Plus | 100% Job Success | $500K+ earned | 12,000+ hours | 5.0 from 30 reviews. Data engineer and analyst: I build the warehouse, the pipelines and the dashboards your team trusts, then automate the manual steps around them.

Most teams I work with face the same problems. Numbers disagree between tools because the same metric is defined in different places. Reports arrive late because pipelines are manual or fragile. People still spend hours moving data between systems or reading documents by hand, and AI pilots stall because the data underneath is not ready.

I fix them in that order: agree the definitions, model the data once in dbt with tests, build reporting on top, then add automation, AI agents and LLM workflows where they save real time. Each layer is built on one the next can trust.

𝐃𝐀𝐓𝐀 𝐄𝐍𝐆𝐈𝐍𝐄𝐄𝐑𝐈𝐍𝐆
I design the data layer so every team works from the same numbers. Data from your CRM, SaaS tools and ad platforms is brought in with Airbyte, Fivetran or Supermetrics, or through custom Python pipelines where no connector exists, and lands in BigQuery or Snowflake. I model it once in dbt, with tests on every key source and documentation generated from the models themselves. Pipelines are orchestrated in Apache Airflow or Dagster with monitoring and retries, so a failed load is caught before anyone opens a report.

𝐀𝐍𝐀𝐋𝐘𝐓𝐈𝐂𝐒 𝐀𝐍𝐃 𝐁𝐈
On top of that layer I build reporting people actually use. Most of my dashboard work is in Power BI, Looker Studio and Tableau, and I have also delivered in Metabase, Apache Superset, Sigma and Klipfolio when a client was already invested in them. Metrics are defined once in a semantic model, access is controlled with row-level security, and each dashboard is designed around the decisions its team needs to make, from executive KPIs to day-to-day self-service analysis.

𝐖𝐀𝐑𝐄𝐇𝐎𝐔𝐒𝐄, 𝐂𝐋𝐎𝐔𝐃 𝐀𝐍𝐃 𝐃𝐀𝐓𝐀 𝐏𝐑𝐎𝐓𝐄𝐂𝐓𝐈𝐎𝐍
I build and migrate warehouses on BigQuery, Snowflake, Redshift, PostgreSQL, ClickHouse and Microsoft Fabric, running on GCP, AWS or Azure, and tune them so queries stay fast and costs stay low. Each client's data is kept separate with proper access controls, and GDPR and personal data protection are part of the design from day one.

𝐀𝐈 𝐀𝐍𝐃 𝐀𝐔𝐓𝐎𝐌𝐀𝐓𝐈𝐎𝐍 𝐎𝐍 𝐓𝐎𝐏 𝐎𝐅 𝐓𝐇𝐄 𝐃𝐀𝐓𝐀
Once the data is in place, I can also build the AI and automation that use it:

• Document question answering (RAG) over your PDFs and contracts. Example: a system over 15,000+ financial PDFs with 94.8% Ragas faithfulness.