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Frank Carrasco Paulino

@frankcarrascopaulino

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Senior Data Engineer building end-to-end data pipelines with Python, PySpark, and Databricks on Azure.

Russian Federation

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What I'm looking for

I’m looking for a data engineering role where I can own cloud pipeline architecture end-to-end—Databricks/PySpark, Azure Data Factory, and strong T-SQL. I want a team that values IaC, CI/CD, and continuous learning while solving real data challenges.

I’m a Senior Data Engineer focused on designing and delivering reliable data pipelines end-to-end. I’ve built solutions with Python and PySpark in Databricks, leveraging Azure Data Factory for orchestration, Azure Storage for storage, and Azure Logic Apps/Function Apps for event-driven workflows.

I also strengthen delivery through infrastructure and platform practices—using Terraform for IaC, GitHub/Azure Repos/Bitbucket for version control, and Jenkins/CI/CD for automation. On the data side, I’ve implemented T-SQL objects (queries, tables, views, functions, stored procedures) and integrated platforms such as Azure SQL, SQL Server, Oracle, and IBM DataStage, while staying hands-on with Linux/HDFS and big data technologies like Hadoop, Impala/Cloudera, and Spark.

Experience

Work history, roles, and key accomplishments

Senior Data Engineer

Tranzact

Oct 2023 - Aug 2024 (10 months)

Designed and implemented data pipelines using Python and PySpark in Databricks, including data logic in T-SQL (queries, tables, views, functions, stored procedures). Implemented Terraform IaC with GitHub version control and orchestrated pipelines with Azure Data Factory while managing data in Azure Storage.

Python Pyspark Databricks Terraform GitHub Azure Storage T SQL Azure Data Factory Stored Procedures

Cloud Big Data Engineer

Globant

Aug 2022 - Sep 2023 (1 year 1 month)

Designed and implemented PySpark data pipelines in Databricks and built T-SQL logic (queries, views, functions, stored procedures). Managed Azure-based storage and repositories (Azure Storage, Azure Repos) and implemented event-driven processes using Azure Logic Apps and Function Apps.

Pyspark Databricks T SQL Azure Storage Azure Repos Azure Logic Apps Azure Functions Linux

Technology Consultant

Management Solutions

Mar 2021 - Jul 2022 (1 year 4 months)

Developed CI/CD pipelines using Bitbucket (Git) and Jenkins and supported data management with Hive (HQL), Impala, and Oracle. Used Linux for HDFS management and integrated/processed data with PySpark and IBM DataStage.

CI CD Bitbucket Jenkins Git Hive Impala Oracle Linux Pyspark IBM DataStage

Junior BI & Big Data Consultant

FactorIT

Apr 2020 - Jul 2020 (3 months)

Performed data integration work using Oracle Warehouse Builder and IBM DataStage and supported ongoing BI/Big Data initiatives. Continued training and development across cloud platforms and analytics tooling.

Oracle Warehouse Builder IBM DataStage Data Integration BIツール Power BI ETL Azure GCP AWS

BI & Big Data Intern

FactorIT

Jul 2019 - Mar 2020 (8 months)

Supported data integration across Azure Data Factory, Oracle Warehouse Builder, and IBM DataStage, and contributed to BI data visualization with Power BI. Helped with Spark SQL data loading and continued learning across Azure, GCP, AWS, and Udemy.

Azure Data Factory Oracle Warehouse Builder IBM DataStage Power BI Data Integration ETL BI Reporting Azure

Education

Degrees, certifications, and relevant coursework

НИУ ВШЭ (HSE)

Master's degree, Business Analytics and Big Data Systems

2025 -

Activities and societies: Topics include Oracle/SQL Server and T-SQL, SQL Server Integration Services, IBM DataStage, Power BI, and Python; data visualization and integration.

Master’s program in Business Analytics and Big Data Systems at НИУ ВШЭ (2025–2027).