Marwin T.
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.
Main expertise
Python5 years
SQL5 years
Scala5 years
BigQuery5 yearsExperience1
senior data engineer
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Maintained the pipelines for the datalake and warehouse
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Created new ETLs and ELTs for reporting purposes in the warehouse.
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Migrated data from cloud to cloud
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Optimization of SQL and spark code
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Design workflows and manage small teams.
PostgreSQL
AWS
Apache SparkPython
AWS SQSEngineering excellence
All Data Engineers who have applied to Proxify are scored from 0 to 300 on engineering excellence, one of the five parameters we evaluate. This score reflects engineering excellence only, based on interviews, take-home assignments, live coding sessions, and/or on-the-job performance reviews. The curve shows how all evaluated Data Engineers are distributed across that range, where our acceptance threshold for this parameter sits, and where Marwin stands.
Score 210 · Top 5% of engineers
Education
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