Lalit Narkhede
Senior Data Engineer
- Role
- Associate Staff Engineer - Data Engineer at Nagarro
- Location
- Pune, MH, IN
- LinkedIn followers
- 500 followers
About Lalit Narkhede
Data Engineer | Azure & Big Data SpecialistPassionate about building scalable, high-performance data platforms that transform complex data into actionable business insights. I am currently advancing enterprise data solutions at Nagarro while actively exploring new opportunities to innovate and deliver impact. Core Expertise• Cloud Data Engineering: Azure Data Factory (ADF), Azure Data Lake Storage (ADLS), Databricks• Big Data & ETL: Apache Spark (PySpark, Spark SQL, Performance Tuning), Hive, HDFS• Data Pipeline Design: End-to-end workflow development, ELT/ETL optimization, and orchestration• Programming & Tools: Python, SQL, Git, CI/CD, Data Modeling Professional ExperienceBig Data Engineer | NagarroDesign and implement robust, cloud-native data pipelines to power analytics and business intelligence. Collaborate with cross-functional teams to deliver scalable, reliable end-to-end data workflows—from ingestion and transformation to consumption.Azure Data Engineer | Yash Technologies (Previous)Engineered enterprise-scale data platforms on Microsoft Azure. Leveraged ADF, Databricks, and ADLS to build optimized ETL/ELT processes, significantly improving data accessibility and reliability for stakeholders. What Drives MeI thrive on solving complex data challenges with modern technology stacks. My drive comes from continuous learning, a passion for optimization, and delivering scalable solutions that are directly aligned with strategic business objectives. Key Achievements• Led high-impact projects that enhanced data accessibility and streamlined analytics at scale.• Built fault-tolerant data pipelines supporting both real-time and batch processing requirements.• Improved data workflow efficiency and reliability through automation and performance optimization. Open to OpportunitiesActively seeking Data Engineer or Azure Data Engineer roles where I can contribute to fast-paced, innovation-driven teams. I am currently serving my notice period and am eager to connect regarding new challenges.Let\'s connect and build data-driven solutions that make a difference!#DataEngineer #AzureDataEngineer #BigData #ApacheSpark #PySpark #Databricks #DataPipeline #CloudEngineering #ETL #DataAnalytics #OpenToWork #TechJobs
Experience
Associate Staff Engineer - Data Engineer
Aug 2024 — Present · Pune, IN
Modernized enterprise data lake by converting Parquet tables to Delta, improving processing throughput by 30% and reducing query latency via optimized storage layouts.Redesigned ETL/ELT pipelines to fully support Delta Lake; ensured fault tolerance, schema evolution, and rollback capabilities for seamless migration.Implemented scalable benchmarking framework comparing Parquet vs Delta, enabling data architecture decisions with measurable performance insights.Built proactive monitoring systems (data audits, anomaly alerts, vendor-quality tracking) that reduced data defects and improved reliability across the analytics ecosystem.Developed backend frameworks supporting automated data validation, anomaly detection, and quality scoring across complex workflows.Tech: Azure, Databricks, Delta Lake, PySpark, SQL, ETL/ELT, ADLS, Data Quality Frameworks
Education
Centre for Development of Advanced Computing (C-DAC)
PG-DBDA, Data Analytics
2020 — 2021
Shri Sant Gajanan Maharaj College of Engineering, Shegaon
Bachelor of Engineering - BE
2014 — 2018
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