Malik Ali H.Private profile: Upwork shows its earnings only to signed-in members, so we check it every few weeks, not daily. MRR here is a rough estimate (Upwork's six-month earnings ÷ months active). Last read Sep 25, 2026.

If you’re looking for a Data Engineer who can build scalable data pipelines and deliver actionable analytics, dashboards, and business insights on GCP/AWS, you’re in the right place. I’m a Google Cloud Certified Data Engineer with 6+ years of experience designing and deploying end-to-end ETL/ELT pipelines, modern data warehouses, and business intelligence solutions that turn raw data into meaningful insights. I help businesses centralize, transform, and activate their data - enabling better reporting, faster decision-making, and scalable analytics systems. 🚀 What I Bring • Design and build scalable batch & real-time data pipelines (BigQuery, Dataflow, Pub/Sub) • Architect modern data warehouses with optimized data models (star schema, medallion architecture) • Develop robust ETL/ELT workflows using Python, SQL, dbt, and Apache Airflow • Build interactive dashboards and reports using Looker, Power BI, and Tableau • Deliver KPI tracking, business intelligence, and data-driven insights • Transform raw data into analytics-ready datasets for reporting and decision-making • Implement data orchestration & deployment pipelines (Airflow, Kubernetes, CI/CD) • Optimize BigQuery performance & cost efficiency • Integrate marketing & SEO data sources (Google Analytics, DataforSEO, Screaming Frog, AWR) • Migrate data from on-premise systems to cloud platforms (GCP/AWS/Azure) 🧠 Specialized Expertise • Modern Data Stack: dbt, BigQuery, Airflow • Data Modeling: Logical & Physical modeling, DWH lifecycle • Data Integration: Batch & streaming pipelines • Analytics Engineering: Clean, testable, and scalable transformations • Business Intelligence & Analytics: Dashboarding, KPI reporting, data visualization • SEO & Marketing Data Pipelines (high-demand niche) 📊 Tools & Technologies • Cloud: GCP (BigQuery, Dataflow, Composer), AWS, Azure • Languages: Python, SQL • Orchestration: Apache Airflow, Cloud Composer, Kubernetes • Warehousing: BigQuery, Snowflake, Redshift, PostgreSQL • BI & Visualization: Looker (Looker Studio), Power BI, Tableau (dashboards, KPI reporting) • Data Tools: dbt, Dataform, Cloud Data Fusion 🎯 What You Can Expect • Clean, scalable, and well-documented data solutions • Strong focus on performance, cost optimization, and reliability • Clear communication and a long-term collaboration mindset 💬 Let’s Work Together If you need help building data pipelines, optimizing your data warehouse, or creating dashboards and analytics solutions, feel free to send a message - I’d be happy to discuss your project. Keywords Data Engineer, ETL, ELT, BigQuery, Apache Airflow, dbt, Data Warehousing, Modern Data Stack, GCP, Google Cloud Platform, Data Modeling, Analytics Engineering, Dataflow, Pub/Sub, Cloud Composer, Snowflake, Amazon Redshift, PostgreSQL, Python, SQL, Batch Processing, Real-time Data Processing, Data Architecture, Data Lake, Data Lakehouse, Medallion Architecture, Data Orchestration, Workflow Orchestration, Cloud Data Fusion, Dataproc, dbt Cloud, Incremental Models, SQL Optimization, BigQuery Optimization, Cost Optimization, Performance Tuning, Data Transformation, Business Intelligence, Data Analytics, Dashboarding, Data Visualization, KPI Reporting, Looker, Looker Studio, Power BI, Tableau