Personal details
Faisal M.
Summary
Data Engineer with experience in various startups and currently at one of the biggest consulting firms. As my experiences on startups, I gain technical skills to build end-to-end data pipelines from scratch. Ingesting various sources, processing them, loading them to data destination, optimize the storage-compute decoupling, modeling data destination and implement data governance on the business users. These skills allow me to convert messy raw data into data-driven actionable insights. Other than that, I also developed my soft skills especially during my current position at McKinsey, I learned a lot about consulting, problem solving, team leading and many more.
Work Experience
Data as a Service Company providing Geolocation data solution. Develop Data Quality Framework deployed on AWS technologies (S3, Lambda, Glue) and GX Library. Improve Development Practice by proposing Git Branching standardization strategy and CI/CD. Automated data deliveries to the clients by setting up serverless solutions on AWS (S3, Glue, Athena, EventBridge, etc.). Reduce Data processing cost by factor of 10 by optimizing the partition and Spark cluster resource allocation.
Advanced Analytics company under McKinsey Management Consulting Firm. Facing clients to gather business requirements and translate them into technical requirements. Working with internal and client teams. Perform learning and handover sessions with the client teams. Develop data engineering solutions using both Cloud (AWS, GCP, Alicloud, Azure) and On-Premise technologies. Develop internal assets (Mainly on Spark and Terraform) to be implemented on various clients and use cases.