Mayuri Lande

Certified Azure Data Engineer with 2.1 years of experience building scalable ETL pipelines and Lakehouse architectures using Azure Data Factory, Azure Databricks, ADLS Gen2, and Delta Lake. Strong foundation in SQL development, PySpark transformations, and dimensional data modeling for analytics and reporting.

Software Engineer at EMTECH Solutions Pvt. Ltd. (2024 – Present)

• Worked on developing and maintaining data pipelines in Azure Data Factory (ADF) to ingest data from multiple REST APIs in the insurance domain.
• Collaborated in building a Lakehouse architecture (Bronze, Silver, Gold) using ADLS Gen2 and Azure Databricks for scalable data processing.
• Implemented incremental data loading and API pagination logic, improving data load efficiency and reducing duplicate processing.
• Performed data transformation using PySpark, including JSON flattening, data cleansing, deduplication, and schema standardization.
• Used Delta Lake merge operations to handle upserts and maintain data consistency across layers.
• Supported analytics team by preparing fact and dimension tables for reporting on claims, policy retention, and risk analysis.

SQL Developer Intern at EMTECH Solutions Pvt. Ltd. (2024 – 2024)

• Wrote SQL queries using SELECT, WHERE, GROUP BY, and ORDER BY to retrieve and analyze data.
• Used JOIN operations to combine data from multiple tables for reporting and analysis.
• Assisted in creating and maintaining views and basic stored procedures.
• Performed data validation and cleaning to ensure accuracy and consistency.
• Assisted in extracting data from REST APIs and loading it into database/storage systems.
• Supported basic data transformation tasks such as flattening JSON data and standardizing fields.
• Helped in handling incremental data loads using filtering logic to avoid duplicate records.

B.E. in Computer Science and Engineering – CSMSS Chh. Shahu College of Engineering (2025)