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. - AI agents that take actions in your tools. Example: support agents on Shopify and Zendesk that close 68% of tickets without a human. - Private LLMs when data cannot leave your environment. Example: a fine-tuned model for legal contract risk review. - n8n automations between your CRM, ad platforms and warehouse, including LLM steps such as scoring call transcripts. 𝐇𝐎𝐖 𝐈 𝐖𝐎𝐑𝐊 I take ownership of each engagement from the first source connection to the final dashboard or automation, so you have one accountable person rather than a hand-off between specialists. Every model, pipeline and report is documented and handed over in a state your team can run and extend without me. I am equally comfortable working inside an existing team: one engagement was covering a client's senior data engineer during their leave, working directly in their existing codebase. 𝐑𝐄𝐂𝐄𝐍𝐓 𝐖𝐎𝐑𝐊 1. CGIAR: enterprise analytics platform on Microsoft Fabric and Power BI for a global research consortium. 2. Markets4U: moved a fintech off Metabase, Oracle BI and Vertica onto a stack built for real-time decisions. 3. Wellness Studio: Fortnox API into BigQuery on Cloud Functions, with margins per site across 29 locations in Power BI. 4. Pierce: GA4 into BigQuery on Airbyte, modelled in dbt so every store metric reconciles to GA4. 5. Flipstream: three warehouses consolidated into one Cube semantic model with Metabase and role-based access. 6. AML Foods: on-prem Sybase moved to PostgreSQL with Airflow syncs, enabling RFM and basket analysis. 𝐀𝐕𝐀𝐈𝐋𝐀𝐁𝐈𝐋𝐈𝐓𝐘 Available 30+ hours a week for projects, retainers and contract-to-hire, with flexible hours that overlap your working day, whether your team is in the US, Europe, the Middle East or Asia-Pacific. Send me your current setup, the warehouse, the tools, the report nobody trusts, and I will tell you what I would change first and why.