Moazzam R.

Data Engineer with 8+ years of experience designing scalable ETL pipelines, cloud data warehouses, and BI solutions using Power BI, Looker, Looker Studio and Tableau that turn raw data into reliable, decision-ready insights. I help businesses automate reporting, reduce manual work, and build high-performance analytics on GCP, Azure, and AWS. 𝐃𝐚𝐭𝐚 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫𝐢𝐧𝐠: • Expertise in building efficient ETL processes with Apache Airflow, Cloud Composer, and Dataform. • Skilled in GCP, Azure, and AWS, with expertise in key services like BigQuery, Cloud Functions, Synapse, and Redshift for optimized data warehousing • Proficient in data modeling and data transformation with DBT for clean, organized datasets. • Experienced with Docker for containerization and Google Cloud Run for scalable deployments. • Skilled in real-time data processing using Google Pub/Sub and data management with Data Lake. 𝐀𝐏𝐈 & 𝐃𝐚𝐭𝐚 𝐈𝐧𝐭𝐞𝐠𝐫𝐚𝐭𝐢𝐨𝐧: • Data extraction using Screaming Frog and DataforSEO. • CRM and marketing data integration with APIs like Apollo, HubSpot, and Facebook. • Search analytics expertise with GA4, Google Search Console, and SerpAPI. • Comprehensive API management for seamless, cross-platform data connectivity. 𝐃𝐚𝐭𝐚 𝐀𝐧𝐚𝐥𝐲𝐬𝐢𝐬: • Skilled in Power BI, Looker, Tableau and Apache Superset for creating clear, insightful dashboards. • Proficient in Python for data analysis, statistical modeling, and visualization. • Advanced SQL skills for efficient data querying and manipulation. • Experienced in data preparation and transformation, ensuring high-quality analytics. My strong communication and collaboration skills ensure smooth teamwork and project management. Flexible with working hours, I adapt to meet specific client needs and timelines.