Sagar Wanve

Data Engineer

Bengaluru, Karnataka, India4 yrs 7 mos experience

Most Likely To SwitchHighly Stable

Key Highlights

Expert in Azure Data Engineering with 4+ years of experience.
Proven track record in building scalable data solutions.
Skilled in advanced analytics and real-time data processing.

Stackforce AI infers this person is a skilled Azure Data Engineer specializing in data pipeline development and analytics solutions.

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Skills

Core Skills

Azure Data FactoryAzure DatabricksStream Analytics

Other Skills

AgileAzure Synapse AnalyticsCloud MigrationData GovernanceData ModelingData WarehousingDelta LakeETL PipelinesEvent HubGitGitHubJiraMedallion ArchitectureMicrosoft Power BIPerformance Tuning

About

Azure Data Engineer with 4+ years of Experience in Data Pipeline Development, Cloud Migration, and Advanced Analytics on Microsoft Azure. Skilled in ADF, Databricks (PySpark, Spark SQL), Azure Synapse Analytics, ADLS Gen2 and SQL Server. Proven Expertise in ETL/ELT, Real-Time Streaming, Medallion Architecture and Delta Lake. Hands-on with Python, SQL and Power BI for Analytics driven solutions. Delivered projects like Customer 360 Degree Analytics Platform supporting millions of records daily and Real Time Retail Inventory Management System.

Experience

Grayradiant data services

2 roles

Azure Data Engineer

Jan 2023 – Present · 3 yrs 2 mos · Bengaluru, Karnataka, India · On-site

Designed and deployed scalable data pipelines in Azure Data Factory (ADF) for ingestion from multiple data sources.
Implemented Medallion Architecture (Bronze, Silver, Gold layers) in Azure Databricks using PySpark for structured and semi-structured data processing.
Developed and maintained Delta Lake tables ensuring ACID compliance, time travel, and consistency for analytics workloads.
Built fact and dimension models in Azure Synapse Analytics and Snowflake to support dashboards, reporting and advanced analytics.
Optimized PySpark jobs and SQL queries to enhance data processing performance and reduce compute costs.
Established data governance practices including security controls, role-based access (RBAC) and audit trails using Azure Active Directory and Key Vault.
Automated schema discovery and data lineage tracking using Azure Purview to enhance data traceability and compliance.
Conducted performance tuning and workload optimization in Azure Synapse Analytics by refining indexes, partition keys, and materialized views.
Monitored data pipelines using Azure Monitor and Log Analytics to proactively identify bottlenecks and resolve failures.