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DWH Developer & Data Engineer & Python Developer

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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).

Author
DWH Developer & Data Engineer +1
63fdfca3d74e9a000129cbe7
Zaměstnanec73020  / Měsíčně
Kontraktor10710  / Denně
ÚroveňMEDIOR
Role
DWH Developer Data Engineer Python Developer
Jazyky
English
Dovednosti
AWSApplication ServerArchitectAzureBig DataCloudCode ManagementContainer Engine SoftwareContainerization SoftwareCryptocurrencyDWH ConsultantDatabaseDevOpsDockerETL ConsultantETL ToolsFastAPIGitMicrosoft serversNetezzaPL/SQLPandasPySparkPythonRedisSQLSnowflakeT-SQLTools
Lokality
CroatiaRemote