DWH Developer & Data Engineer & Python Developer
Přehled
Krátké shrnutí
Kandidát je datový inženýr a vývojář v jazyce Python se zájmem o pozice DWH/BI. Má tři a půl roku zkušeností s DWH/ETL řešeními a také dva roky s Pythonem. Na svém nedávném projektu prováděla ad hoc změny a řešení problémů v ETL pipeline. Je schopná komunikovat v angličtině a je otevřená práci na dlouhodobých i krátkodobých projektech, i když preferuje dlouhodobé. Výrazně preferuje práci na dálku, ale je otevřená i občasným návštěvám v Záhřebu (2x/měsíc). Dokázala by si představit práci jak ve standardním zaměstnání, tak na volné noze. V současné době je ve výpovědní lhůtě na své současné pozici, takže je schopna začátkem dubna nastoupit do nového angažmá.
Pracovní zkušenosti
Data Engineer/Python Developer (AWS/Python technologies)
Netezza to Redshift Migration (Dates: N/A)
- Worked on PL/SQL stored procedures for ETL into Redshift.
- Validated and finalized ingestions within Redshift.
- Created an ETL framework using Python wrapper (Luigi library) for building ETL pipelines.
- Business trip to Florida for on-site work with the client to finalize the migration process.
Managed Services Support (Dates: N/A)
- Monitored daily data loads using ETL jobs built in SyncSort.
- Developed a process for basic checks such as counts, key uniqueness, duplicates, orphaned fact records, etc.
Real-time Data Processing Pipeline (Dates: N/A)
- Created the data model and necessary data transformations.
- Developed Lambda functions (Python + SQL) for data processing.
- Built the architecture in AWS, including services such as EC2, ECS, Kinesis, S3, Athena, Lambda, ElastiCache (Redis), CodeCommit, and CloudFormation.
- The project focused on ingesting and visualizing streaming data in real-time, with an archiving architecture component.
ETL Solution Development (Dates: N/A)
- Built new data processing pipelines (S3 to S3) and upgraded existing Python framework using PySpark and HDFS on a MapR cluster.
Development of Data Ingestion from Multiple Sources (Dates: N/A)
- Developed a prototype data pipeline for ingesting raw data from multiple sources into a datalake in S3 and Snowflake.
- Guided a team in working on enhancements, assigning and monitoring tasks, and conducting code reviews.
Data Engineer (Dates: July 2017 - March 2020)
- Worked as a consultant on enterprise data warehousing and data ingestion projects for various clients.
- Designed and developed data flows in AWS cloud using services such as AWS Lambda, AWS Glue, S3, and Redshift.
- Developed data ingestion components in Python for both serverless and on-premise systems.
- Experienced in EDW Data Marts and Data Vaults.
- Led a small technical team, provided mentorship, and handled client communication.
- Participated in all SDLC phases of the projects using scrum methodology.
Python Developer (Dates: March 2020 - Present)
- Backend development experience of over 2 years.
- Developed integrations and APIs in AWS cloud using services such as API Gateway, AWS Lambda, Step Functions, and ECS.
- Worked on projects that follow latest standards and best practices, including writing tests, using pre-commit hooks, following formatting standards, and having a code review process.
3rd Party Tool Integration (Dates: N/A)
- Developed event-driven Lambda functions to perform various API calls.
- Integrated a third-party tool (Benchling, biotech specific) with AWS EventBus to enrich and work around its shortcomings.
Scientific Tool Development (Dates: N/A)
- Developed backend code to create an API using FastAPI.
- Created a tool to integrate existing scientific tools and libraries for more efficient genomics research.
ETL Pipeline Support (Dates: N/A)
- Troubleshot and enhanced an existing ETL pipeline for a dentistry industry project.
Skills: SQL (Postgres, T-SQL), PL/SQL, Python (functional and object-oriented), AWS (Lambda, S3, Redshift, Glue), AWS Services (Athena, EMR, Firehose, CodeCommit, CloudFormation, Step Functions, SNS, Secrets Manager), and other tools and technologies mentioned in the CV.
Achievements: AWS Solutions Architect Associate certificate (2018), AWS Solutions Architect Professional certificate (2018).
| Zaměstnanec | 73020 Kč / Měsíčně |
| Kontraktor | 10710 Kč / Denně |
| Úroveň | MEDIOR |