Marwin T.
Data Engineer
Marwin is an experienced Data Engineer with nearly five years of commercial experience, specializing in building and maintaining scalable data infrastructure on cloud platforms such as Google Cloud Platform (GCP) and Amazon Web Services (AWS).
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
- Python 5 years
- SQL 5 years
- Scala 5 years
Other skills
- MySQL 5 years
- Kubernetes 5 years
- Java 4 years
Selected experience
Employment
senior data engineer
global extension - 5 years 4 months
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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.
Technologies:
- Technologies:
Python
SQL
Scala
BigQuery
PostgreSQL
Redshift
Apache Airflow
Apache Spark
Google Cloud
AWS
AWS S3
AWS EC2
AWS VPC
AWS Lambda
ETL
dbt
Hadoop
- ELT
Kubernetes
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Education
BSc.software engineer
UPB · 2016 - 2020
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