May 2021 – Sep 2024 · 3 yrs 4 mos · Pune, Maharashtra, India · Remote

• Contributed to the development of data-driven solutions for the pharmaceutical industry, specializing in healthcare data integration and analytics.
• Designed and implemented data pipelines to ingest, process, and analyze large volumes of clinical and patient data, enabling timely insights for research and development teams. • Leveraged advanced analytics techniques to identify patterns and trends in healthcare data, supporting evidence-based decision-making for drug development and commercialization.
• Collaborated with cross-functional teams to deploy machine learning models for predictive analytics, resulting in improved patient outcomes and operational efficiency for healthcare providers.

Aug 2019 – May 2021 · 1 yr 9 mos · Pune Area, India · On-site

• In order to prevent using the bank's services for money laundering,
• terrorist financing and other illegal activities, Account Services must
• follow the practices outlined in the Global Anti-Money Laundering
• compliance manual.
• Security Search Non-$ application provides access to clients to invest via
• equity and options in different countries and their currencies.
• Involved in applying various transformations and optimization techniques in Spark .
• Creating Hive External and internal tables to store the processed results in a tabular format with partitions and bucketing for better performance and Tuning Hive queries to get the best performance.
• Writing customized Hive and User Defined Functions (UDF) to ease the processing.
• Writing the script files for processing data and loading into the warehouse.
• Developing ESP workflow for scheduling jobs.

Feb 2017 – Aug 2019 · 2 yrs 6 mos · On-site

• Set up multi node Hadoop cluster on VBox centOs. Tools worked on - Sqoop, Hive, Spark ( DataFrames, RDD, Spark SQL) , NoSql- Hbase, Oozie.
• Ingesting data using Sqoop from different RDBMS to HDFS vice-versa and Hive as part of Value at risk calculation over trading data.
• Hive performance tuning to generate reports faster.
• Spark Hadoop API to transform trading data(csv,orc,Parquet), table and store them on external sources & HDFS.
• Automating the jobs using Oozie scripts.

Nov 2015 – Jan 2017 · 1 yr 2 mos · On-site

• In ADAS application framework for different vehicles from various OEM’s in order to understand the presence of passenger safety features and provide a summary report for the same to the client.
• Development of log simulator for Simulink functionality PreReverse Acceleration (RPAC) and model creation for Lead CarDeparture Alert (LCDA) functionality.
• Created Hive External and Internal tables to process and load data .
• Developed Oozie workflow for scheduling jobs .