Marina Olina, Developer in Riga, Latvia
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Marina Olina

Verified Expert  in Engineering

Bio

Marina is a data engineer with 6+ years of experience and a flair for blending established and emerging technologies to deliver cost-effective and robust solutions. Her innovative approach led to the development of an AWS Glue app, optimizing on-premise migration costs with a Lambda-based alternative. Marina leverages her finance background and expertise in Apache Spark, AWS, Databricks, and Foundry to enhance functionality and efficiency for clients in the fintech and data services sectors.

Portfolio

Self-employed
Amazon Web Services (AWS), Apache Spark, Databricks, Redash, Amazon QuickSight...
C.T.Co
Azure, Apache Spark, Scala, Camunda BPM, Databricks, Palantir, Terraform...
Intrum
Hadoop, Azure HDInsight, Bash Script, Azure Blob Storage API, PySpark...

Experience

  • Scala - 6 years
  • Terraform - 6 years
  • Amazon Web Services (AWS) - 6 years
  • Python 3 - 6 years
  • Apache Spark - 6 years
  • Databricks - 6 years
  • Palantir - 3 years
  • Azure - 2 years

Availability

Full-time

Preferred Environment

Apache Spark, Amazon Web Services (AWS), Databricks, Foundry, Azure, Snowflake

The most amazing...

...thing I've built is an AWS Glue app for on-premise migration. I used my financial background to propose a cheaper, equally functional alternative using Lambda.

Work Experience

Data Engineer

2023 - PRESENT
Self-employed
  • Oversaw ETL monitoring, alerting, and post-mortem investigation of issues.
  • Tracked and fixed bugs using Jira as a reporting tool.
  • Created and fixed BI dashboards, data analysis, and charts.
Technologies: Amazon Web Services (AWS), Apache Spark, Databricks, Redash, Amazon QuickSight, AWS Lambda, Python 3, Scala, Apache Kafka, Data Engineering, Python, SQL, ELT, ETL

Data Engineer

2022 - 2024
C.T.Co
  • Conceptualized and architected the pipeline for an Apache Spark application, from initial ideas to MVP, designing scalable and efficient data processing workflows, significantly contributing to the foundational structure and deployment strategy.
  • Contributed to enhancing the ETL processes deployed on the Palantir Foundry platform by tuning Apache Spark performance and verifying data integrity.
  • Participated in a lift-and-shift project, transitioning from Oracle to Azure Databricks, enhancing scalability and performance.
Technologies: Azure, Apache Spark, Scala, Camunda BPM, Databricks, Palantir, Terraform, Kubernetes, GitHub, CI/CD Pipelines, Azure DevOps, Data Engineering, Python, SQL, ELT, ETL, Foundry

Data Engineer

2021 - 2022
Intrum
  • Actively contributed to the planning and execution of a comprehensive migration strategy from an on-premises system to a cloud-based infrastructure.
  • Served as a monitoring and maintenance team member for a production-grade on-premises Hadoop system.
  • Developed proof of concept (PoC) for the lift and shift of an on-premises Hadoop environment to Azure HDInsight.
Technologies: Hadoop, Azure HDInsight, Bash Script, Azure Blob Storage API, PySpark, Data Engineering, Python, SQL, ELT, ETL

Data Engineer

2021 - 2021
Russian Private Gaming Company
  • Contributed to the improvement of existing ETL real-time streaming and batch.
  • Contributed to DWH concept development/maintenance.
  • Created ad hoc data analytics and dashboards to monitor systems and for marketing purposes.
Technologies: Amazon Kinesis Data Firehose, Redshift, Amazon DynamoDB, Apache Airflow, Amazon Athena, Jupyter Notebook, Terraform, Kubernetes, AWS Glue, Amazon Kinesis, RabbitMQ, Kibana, Elasticsearch, AWS Lambda, Data Engineering, Python, SQL, ELT, ETL

Data Engineer

2018 - 2021
Accenture
  • Collaborated on the creation of new architecture from scratch, using cloud services efficiently.
  • Contributed to migration and automation of ETL from on-premises management system to AWS.
  • Developed extension of the functionality of separate components.
  • Was a member of customer support and maintenance of production solutions teams.
Technologies: Tesseract, Git, Dplyr, HTML, Hadoop, R, Django, OpenCV, sparklyr, Data Engineering, Python, SQL, ELT, ETL, Foundry

Experience

Terraspace Infrastructure

https://github.com/marinaolina/infra/
A Terraspace project for my DevOps certification. It contains code to provision a cloud infrastructure built with Terraform and the Terraspace Framework. This was also my first experience with Ruby installation.

Clustering for Marketing Purposes

This was a machine-learning project. I created ETL, selected the best clustering approach, built and fine-tuned machine learning models, and classed new data with subsequent visualization. Recognition of shoe models by provided silhouettes and coordinates created from scanned pictures.

Education

1990 - 1995

Bachelor of Science Degree in Engineering Economics and Management

Riga Technical University - Riga, Latvia

Certifications

APRIL 2022 - PRESENT

Microsoft Certified: Azure Fundamentals

Microsoft

DECEMBER 2016 - PRESENT

Chartered Certified Accountant

The Association of Chartered Certified Accountants

Skills

Libraries/APIs

Azure Blob Storage API, PySpark, OpenCV

Tools

Redash, Terraform, Amazon QuickSight, Camunda BPM, GitHub, Azure HDInsight, sparklyr, Dplyr, Git, AWS Glue, Amazon Athena, Kibana, RabbitMQ, Amazon Kinesis Data Firehose, Apache Airflow

Languages

SQL, Python, Snowflake, Pascal, Fortran, BASIC, Scala, Python 3, Bash Script, HTML, R

Frameworks

Apache Spark, Hadoop, Django

Platforms

Databricks, Amazon Web Services (AWS), Azure, AWS Lambda, Apache Kafka, Kubernetes, Jupyter Notebook

Paradigms

Management, Azure DevOps, ETL

Storage

PostgreSQL, Redshift, Amazon DynamoDB, Elasticsearch

Other

Palantir, Data Engineering, Foundry, Economics, Heavy Equipment, Tax Accounting, Reporting, Prometheus, CI/CD Pipelines, Machine Learning, K-means Clustering, Neural Networks, ELT, Tesseract, Amazon Kinesis

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