Shahid Malik — Data Scientist

4+ years working inside sales, vendor, CRM, and payment data, close enough to the business to know what questions matter, and technical enough to build the systems that answer them reliably. At my current company, I’ve automated reporting workflows that reduced manual effort by 30–40%, built dashboards used by leadership for strategic decisions, and contributed to PKR 89M+ in revenue growth alongside an 11% improvement in profit margins. I’m currently expanding into Analytics Engineering, building dbt models, designing ELT pipelines, and implementing data quality checks using tools like Snowflake and Airflow. My focus is on creating reliable, scalable data systems through end-to-end projects, not as side experiments. Core Stack: SQL, Python, dbt, Airflow, Snowflake, Power BI, Pandas, AWS, PostgreSQL, Spark, Git, Docker Engineering Experience: — Built modular data models in dbt (staging → intermediate → marts) — Designed and scheduled pipelines using Airflow — Worked with Snowflake for scalable cloud data warehousing — Automated workflows and built lightweight data services using Python and FastAPI — Used Docker for reproducible environments and deployment — Applied Git for version control and collaboration — Designed dimensional models and implemented data quality checks

Stackforce AI infers this person is a Data Analyst transitioning to Analytics Engineering with a strong focus on scalable data systems.

Experience: 4 yrs 5 mos