Tomasz Zielański
Verified Expert in Engineering
Data Engineer and Database Developer
Tomasz is a data engineer with five years of industry experience. He specializes in engineering data pipelines, and he has significant experience in reporting and using machine learning for analytics in banking and fintech. Tomasz excels at using data to solve business challenges, and he often finds that data engineering is the most significant part of a data solution.
Portfolio
Experience
Availability
Preferred Environment
Python 3, Google Cloud, Amazon Web Services (AWS), Scikit-learn, Apache Airflow, Apache Spark
The most amazing...
...project I've co-developed was a data lake for the very first entirely Google Cloud-based fintech in Europe.
Work Experience
Data Scientist
Stermedia
- Developed a machine learning model for startup classification and integrated it with a web application.
- Conducted technical consultations for prospective clients.
- Prepared work estimations for machine learning projects for prospective clients.
Data Engineer
Bluesoft
- Developed a cross-account access solution for a distributed AWS Data Lake architecture.
- Optimized an Apache Spark pipeline to speed up the processing of 1GB+ datasets.
- Added new functions to an on-demand data pipeline created on AWS EMR.
Data Engineer
Vodeno
- Took part in designing a GCP data lake from scratch, including table modeling, choosing storage technology, and modeling guidelines.
- Implemented a streaming data pipeline solution in Java 8, Kotlin, and Google Cloud Dataflow (Apache Beam).
- Designed pipelines for BI reporting, including modeling data structures, implementing data pipelines, and creating dashboards in Google Data Studio.
- Developed a propensity-to-buy machine learning model.
ETL Developer
ING Bank Śląski
- Built multiple data pipelines in IBM Infosphere DataStage.
- Designed Snowflake structures for a data warehouse on Oracle.
- Maintained an Oracle data warehouse and solved bugs in collaboration with business teams.
Experience
Vodeno Cloud Platform for Banking
https://www.vodeno.com/#platformEducation
Master's Degree in Automatics and Robotics
Silesian University of Technology - Gliwice, Poland
Certifications
Deep Learning
DeepLearning.ai
AWS Cloud Practitioner Essentials
Amazon Web Services
Machine Learning
Stanford University
Certificate of Proficiency in English
University of Cambridge
Skills
Languages
Python 3, SQL, Python, Java 8, Kotlin, Java, Snowflake
Tools
Jupyter, BigQuery, GitHub, Apache Airflow, Amazon Elastic MapReduce (EMR), AWS Glue, Amazon Athena, Cloud Dataflow, IBM InfoSphere (DataStage), Apache Beam
Paradigms
ETL
Other
Data Transformation, Data Cleansing, Software Development, Machine Learning, Google Data Studio, Artificial Intelligence (AI), Data Engineering, APIs, erwin Data Modeler, Deep Learning, BI Reporting, Dashboards, Data Structures, Data Warehousing, Architecture, Dashboard Design, Predictive Modeling, Statistics
Libraries/APIs
Scikit-learn, Pandas, REST APIs
Platforms
Amazon Web Services (AWS), Linux, Amazon EC2, Oracle, Google Cloud Platform (GCP)
Storage
BigTable, Google Cloud, Amazon S3 (AWS S3), Data Lakes, Data Pipelines
Frameworks
Apache Spark
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