Sandhyarani Lavhare

Data Engineer

Pune, Maharashtra, India3 yrs experience

Highly Stable

Key Highlights

Over 3 years of experience in Azure data engineering.
Expert in building HIPAA-compliant data solutions.
Proven track record of optimizing data workflows.

Stackforce AI infers this person is a Healthcare Data Engineer specializing in Azure data solutions and ETL processes.

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Skills

Core Skills

Azure Data FactoryData Pipelines

Other Skills

Azure DatabricksPySparkSpark SQLAzure Data Lake Storage Gen2ETL PipelinesData TransmissionPostgreSQLApache SparkSQLMySQL

About

Azure Data Engineer with 3+ years of experience in designing, developing, and supporting end-to-end ETL/ELT data pipelines using Azure Data Factory, Azure Databricks, and Azure Data Lake Storage Gen2. Strong hands-on experience with PySpark, Spark SQL, Python, and SQL for large-scale data transformation, performance optimization, and analytics support. Worked extensively in Healthcare and Insurance domains, delivering HIPAA-compliant data solutions, implementing PHI masking, and supporting production data pipelines. Experienced in optimizing data workflows, improving pipeline reliability, and reducing processing time to support business-critical reporting and analytics.

Experience

3 yrs

Total Experience

3 yrs

Average Tenure

Current Experience

Infosys

Data Engineer

Jun 2022 – Jul 2025 · 3 yrs 1 mo · Pune District, Maharashtra, India · Hybrid

Designed and developed end-to-end ETL/ELT data pipelines using Azure Data Factory and Azure Databricks.
Built scalable data transformation workflows using PySpark on Azure Data Lake Storage Gen2.
Optimized Spark SQL queries, reducing report generation time by 98%.
Improved claims processing pipelines, reducing processing time from 8 hours to 35 minutes.
Implemented PHI masking and HIPAA-compliant data models for secure healthcare data processing.
Supported production data pipelines in Healthcare and Insurance domains, ensuring data quality and reliability.

Azure Data FactoryAzure DatabricksPySparkSpark SQLAzure Data Lake Storage Gen2Data Pipelines