Feb 2024 – Jun 2025 · 1 yr 4 mos · Hyderabad, Telangana, India

Jul 2022 – Feb 2024 · 1 yr 7 mos · Hyderabad, Telangana, India

• Apple Maps
• Role: Big Data Engineer/Software Engineer
• Project Undertaken: Building data pipeline and to automate the apple maps building
• process.
• Key Highlights:
• Working on Naming and Addressing build pipelines which shall provide
• correct data for roads and addresses to users for navigation.
• Challenges Faced: (a) Optimize a legacy scala spark application to improve
• performance to reduce runtime by 70-80% (b) Develop a complex spark
• application to detect turbo roundabouts to solve navigation issues for apple
• maps users.
• Technologies Used: (a) Apache SPARK, Hadoop, Cassandra, Scala, AWS,
• Python, Shell scripting

Jul 2022 – Feb 2024 · 1 yr 7 mos · Hyderabad, Telangana, India

• Data Engineer(SDE)

Oct 2021 – Jun 2022 · 8 mos · Gurugram, Haryana, India

• Role: Big Data Engineer/Software Engineer
• Project Undertaken: Building data pipeline to allocate promotional offers to
• customers of retail business(clients) like Tesco(On Premise: Cloudera),
• Wakefern(Cloud: GCP), etc. based on relevancy for a given customer and filtration
• criteria of a particular event/campaign.
• Key Highlights:
• Working on allocation engine to allocate offers according to customer
• behaviour over the past 8-52 weeks and filtration criteria of a particular
• event/campaign for a given market.
• Challenges Faced: (a) Optimize Spark Scala application part of the Allocation
• data pipeline. (b) Develop a complex allocation engine using Pyspark Graphx
• libraries to allocate offers to customers based on their ranking and slot
• availability.
• Technologies Used: (a) Apache SPARK, Apache Airflow, Hadoop, Hive, Scala,
• GCP, Python, Shell scripting

Jul 2019 – Sep 2021 · 2 yrs 2 mos · Bengaluru, Karnataka, India

• Role: Big Data Engineer/Software Engineer
• Project Undertaken: Building MIS-Calc Engine’s Data Pipeline for Deutsche Bank’s
• Mortgage and Home Saving Loan accounts
• Key Highlights:
• Successfully extracted and processed data from a Data Vault Model based
• filesystem using PySpark library functions and created Data Mart for reporting.
• Successfully tuned the spark jobs for optimum performance using spark
• configurations for shuffle partitions.
• Challenges Faced: (a) Big Data Storage and processing (b) Pipeline Scheduling
• and Automation (c) Creation of staging environments to optimise the overall
• data processing (d) Creation of a logging framework and control the level via
• command line arguments (e) Handling Component Failures.
• Technologies Used: Apache SPARK, Hadoop, Hive, Python, Shell scripting

Mar 2018 – Apr 2018 · 1 mo

• I successfully organized a seminar on Cyber Security Trends in collaboration with Cyber Security Knowledge and Research Sharing Council.
• I also coordinated a Hackathon event named Capture-The-Flag at Espektro 2k18 in collaboration with Cyber Security Knowledge and Research Sharing Council.

Jan 2018 – Jun 2019 · 1 yr 5 mos

• Managing Network Systems under Network Administrator/Professor's guidance for Kalyani Government Engineering College and R.B.C Hall Hostel.