About
Data Engineer with experience in designing and building data models, data warehouses, and data pipelines using both on-premises and cloud technologies. Proficient in implementing Data Vault 2.0 and other data warehousing methodologies to build scalable, auditable data architectures and robust ETL processes, primarily within the retail industry.
Top skills
Verified by Pangea.ai due diligence
| Top Skills | Current Usage | Seniority |
|---|---|---|
Microsoft Azure | 20% | 2 years |
PySpark | 25% | 2 years |
Azure Synapse | 20% | 2 years |
Data Engineering | 15% | 2 years |
Databricks | 20% | 2 years |
All skills
Roles and tools, to bring ideas to life and create meaningful experiences
Professional experience
Explore a curated selection of projects highlighting Monika's expertise and experience. Each project aims to showcase challenges, solutions, and the final outcome, along with the tools and technologies used.
Preferred tools
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Career highlights
Discover Monika’s professional journey, including employment history, certifications, and educational background.
Testimonials
Anonymous
Retail
“Implementation of a Data Vault 2.0 methodology for a large retail enterprise. Utilized Databricks and Azure Synapse to enable scalable data processing and storage solutions. Collaborated within a version-controlled development environment using Git to support team-based workflows. Contributed in the ETL design and the development of UAT tests to ensure data quality and business alignment.“
Anonymous
Retail
“Development of on-premises data warehouse for a retail client. The platform is designed to support diverse data sources, enabling seamless data ingestion and transformation.“