
Data Engineer
He has deep expertise in designing and optimizing ETL/ELT pipelines, orchestrating workflows, and developing cloud-based architectures for data lakes and data warehouses.
Marwin has successfully led multiple cloud migration projects, including the end-to-end migration of a data engineering team’s workflows from AWS Elastic Beanstalk to Apache Airflow on GCP Composer. He has also designed and implemented full reporting pipelines using geospatial data to track and analyze store visits, enhancing business insights and decision-making.
Marwin combines strong technical capabilities with a strategic approach to data engineering, making him a valuable asset for data-driven organizations seeking to modernize and scale their infrastructure.
Maintained the pipelines for the datalake and warehouse
Created new ETLs and ELTs for reporting purposes in the warehouse.
Migrated data from cloud to cloud
Optimization of SQL and spark code
Design workflows and manage small teams.
Alle Data Engineerer, der har ansøgt til Proxify, får en score fra 0 til 300 på teknisk dygtighed, en af de fem parametre, vi evaluerer. Denne score afspejler kun teknisk dygtighed baseret på interviews, hjemmeopgaver, live kodningssessioner og/eller vurderinger af præstationer på jobbet. Kurven viser, hvordan alle evaluerede Data Engineerer er fordelt over dette interval, hvor vores acceptgrænse for denne parameter ligger, og hvor Marwin står.

Tal med en ekspert og få skræddersyede matches fra vores netværk på kun 2 dage.
Få adgang til over 6.000+ eksperter
Få matchet med en udvikler på gennemsnitligt 2 dage
Ansæt hurtigt og nemt med 94 % matchsuccess