Alisa Grinko

About Alisa Grinko

Senior Data Engineer with 10+ years of experience building scalable data pipelines, analytics-ready datasets, and cloud data solutions across AWS and Azure. I specialize in designing end-to-end data workflows that transform raw data into clean, well-modeled datasets used for business intelligence, reporting, product analytics, and machine learning.My core stack includes Python, SQL, PySpark, Snowflake, Redshift, Databricks, Airflow, and dbt. I develop robust ETL/ELT pipelines and work extensively with large-scale, multi-terabyte datasets and distributed processing, building reliable, production-grade data workflows that support data-driven decision making.I design dimensional data models and curated data layers that power BI tools such as Power BI and Tableau, ensuring consistent metrics and trusted insights across business domains.I focus on data quality, validation, and performance optimization, and take ownership of data solutions end-to-end from design to production. I partner closely with business, data science, and engineering teams to deliver measurable impact.New York, USA | U.S. Citizen

Experience

1. Data Engineer

   Deloitte

   Aug 2021 — Present · NY, US

   Managed Snowflake environments, optimizing resources and executing data migration strategies from on-premises databases to Snowflake. Developed transformation scripts using Snowflake SQL features and integrated Snowflake with BI tools for seamless reporting. Implemented security best practices in Snowflake.Engaged with business users to gather requirements, translating them into technical solutions. Worked within Agile methodology, participating in daily stand-ups, sprint planning, and retrospectives, managing tasks through Azure DevOps.Collaborated with Data Architects to transform data from legacy systems into new operational systems and data warehouses. Designed frameworks for Operational Data Stores (ODS) and data marts, applying business rules and performing data profiling.Built Azure Data Lake Storage solutions, integrating batch and streaming datasets from various sources. Utilized Synapse Analytics, Data Factory, Azure Function Apps, Logic Apps, Azure Kusto, Salesforce, JDE, Azure SQL Database, and MySQL. Developed ETL pipelines in Azure Data Factory for data transfer between Blob storage and other sources. Migrated on-premises SSIS systems to Azure.Developed notebooks in Azure Databricks using Python and Spark SQL, building pipelines for data flows across Azure Data Lake zones. Configured Azure Monitor services, including Log Analytics dashboards, to evaluate performance metrics. Designed and optimized T-SQL database objects, focusing on data analysis, design, development, implementation, and testing of data warehousing projects.Created reports in Power BI, designing dashboards, scorecards, pivot tables, and other visualizations for comprehensive analysis using Power BI desktop.Utilized AWS services (S3, Redshift, Lambda, RDS) for scalable data processing and management. Implemented data pipelines with AWS Glue and Data Pipeline to automate ETL processes and ensure data integrity.

Education

• Brooklyn College

  Bachelor of Science - BS, Computer Science