Laiba A.

I build BI dashboards and the data pipelines underneath them, so your reporting runs on its own instead of being rebuilt every month. Most of my work is analytics engineering end to end: pulling data from APIs and databases, modeling it with SQL and dbt, loading it into Snowflake or BigQuery, and surfacing it in Power BI or Metabase dashboards your team will actually open. What I build: → Power BI and Metabase dashboards with clear KPIs and clean drilldowns → ETL and ELT pipelines using SQL, Python and dbt → Data warehouse setups on Snowflake, BigQuery and PostgreSQL → Automated reporting through REST APIs, Google Sheets and Apps Script → Python scripts for scraping, data cleaning and workflow automation Recent work: → Rebuilt an ETL pipeline to cut processing time by 60% on a system handling over 1M records a day → Built executive Metabase reporting for a domain sales business working from raw transaction data → Transformed multi tenant BigQuery tables with dbt for a client's Looker Studio reporting How I work: I start by asking what decision the dashboard is meant to support, then build backward from there. You get working deliverables in stages, not one reveal at the end, and documentation you can hand to the next person. If something is outside what I do well, I will tell you before we start rather than halfway through. Tools: Power BI, Metabase, Tableau, SQL, Python, dbt, Snowflake, BigQuery, PostgreSQL, Looker Studio, Excel, Google Sheets, Airtable Send me a note with what your data looks like now and what you wish it told you, and I will tell you whether I am the right fit.