
Esteban Zacharzewski
Fähigkeiten und Kenntnisse
Werdegang
Berufserfahrung von Esteban Zacharzewski
On assignment to Carvana, the largest ecommerce platform for used vehicles in the USA. - Developed a data pipeline for auctioned car listings that acts as a source of truth for 1M active listings weekly. - Debugged latency problems in ingestion endpoints by optimizing Cosmos DB configuration which led to a 2x speedup and reduction of RU consumption. - Improved visibility of pipeline KPIs by generating application metrics and constructed effective visualizations in dashboards used by the whole division.
- 9 Monate, Feb. 2020 - Okt. 2020
Software Engineer
Tasktop
Connecting software development processes to strategic business outcomes for every vertical in real-time. Technologies: ReactJS, AWS S3, Scala, Kubernetes, Python. - My contributions helped Tasktop be named a leader in the 2020 Forrester Wave for Value Stream Management solutions. - Took ownership of customer facing charting components in the UI by implementing better abstraction practices.
- 5 Monate, Juli 2019 - Nov. 2019
Data Engineer
Fineway GmbH
Generating perfectly tailored trips ready-to-book across the world. Technologies: AWS Lambda, AWS SQS, Serverless, Kubernetes, Python, Airflow. - Developed serverless data lake architecture based on Lambda, S3 and Athena which helped decrease costs by 70% associated with 3rd party connector tools. - Implemented and maintained 10+ Airflow DAGs to support batch processing and polling operations inside our organization.
- 6 Monate, Jan. 2019 - Juni 2019
Software Developer
Allianz Technology SE
Advanced Business Analytics global team. Designing and deploying scalable machine learning pipelines to production. Technologies: Python, Luigi, Flask, Docker, PostgreSQL, SFTP. - Responsible for technical implementation of forefront product for our division to generate lifecycle predictions for auto insurance claims. - Mentored and coordinated a team of 2 data scientists on best software practices for writing ML models capable of serving product needs.
Building a recommender system to provide restaurant recommendations to millions of customers across over 20 countries. Technologies: Scala, Python, Docker, Pub/Sub, BigQuery, Aerospike, PostgreSQL, GCP. - Engineered first release of content-based recommendation algorithms for restaurant recommendations which placed us ahead of competitors in the space. - Developed reliable ETL solution for ingesting full volumes of historical food orders from our partner brands into our system.
Technologies for integrating electric vehicles and renewable sources of energy into the power grid. Technologies: Python, Docker, RabbitMQ, Elastic Stack. - Migrated SCADA system written in Matlab to a modern programming stack which redefined maintainability and system visibility. - Implemented REST APIs to create and manage bookings to perform Frequency Containment Reserve (FCR) actions by a large interconnected pool of car batteries.
Ausbildung von Esteban Zacharzewski
- 4 Jahre und 10 Monate, Sep. 2011 - Juni 2016
Physics
The University Of Chicago
Sprachen
Englisch
Muttersprache
Spanisch
Muttersprache
Deutsch
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