Anish Navelkar

About Anish Navelkar

5+ years of IT experience, with 3 years specializing in Azure Cloud Services as a Data Engineer.Expertise in using Azure services such as Databricks, Azure Data Factory, and Data Lake to deliver end-to-end cloud data solutions.Hands-on experience in data movement, transformation, and ETL processes using Azure Data Factory (ADF).Proficient in business logic implementation in Databricks leveraging PySpark, Python, and SQL.Skilled in manipulating and analyzing large datasets, both structured and unstructured, to extract valuable insights.Passionate about building scalable, efficient data pipelines and solutions in the cloud environment to optimize data-driven decision-making.

Experience

1. Azure Data Engineer

   Tata Consultancy Services

   Feb 2019 — Present · Bengaluru, IN

   GSK: GSK plc is a British multinational pharmaceutical and biotechnology company with global headquarters in London. It was established in by a merger of Glaxo Wellcome and SmithKline Beecham, which was itself a merger of a number of pharmaceutical companies around the Smith, Kline & French firm.(Apr 2021 - Present)• Communication with Business Owner & Onsite Team in daily stand up andscrum call.• Imported data from different sources like ADLSs and BLOB for computationusing Spark.• Used Avro, Json and Parquet data formats to store data into ADLSs.• Created data driven work flows for data movement and transformation usingData Factory, DataBricks.• Extracted huge files by using Azure Storage Explorer from the Data Lake.• Involved in all the Acquisition, Transformation and Model phases of theproject.• Monitoring the Spark Jobs in the cluster environment debugging for the failedjobs.• Interacted closely with business users, providing end to end support.British Telecom: BT Group plc is a British multinational telecommunications holding company headquartered in London, England. It has operations in around 180 countries and is the largest provider of fixed-line, broadband and mobile services in the UK, and also provides subscription television and IT services.(Feb 2019 - Mar 2021)• Imported data from different sources like ADLSs and BLOB for computationusing Spark.• Used Avro, Json and Parquet data formats to store data into ADLSs.• Created data driven work flows for data movement and transformation usingData Factory, DataBricks.• Extracted huge files by using Azure Storage Explorer from the Data Lake.• Involved in all the Acquisition, Transformation and Model phases of theproject

Education

• Shri Madhwa Vadiraja Institute of Technology & Management, BANTAKAL

  Bachelor of Engineering - BE

  2013 — 2017