Jan 2024 – May 2024 · 4 mos · Remote

• ETL Development, SQL, Python for Data Engineering, Visualisation and Management

Apr 2023 – Dec 2023 · 8 mos

• Creating Data pipelines which are heavily used by stakeholders who include Data Scientists, BA’s, PM’s and other users. It’s responsible for maintaining over 100+ data pipelines including both hive and spark ETL.
• Creating Airflow pipelines, using Python, PySpark and Hive using various backend sources, api reqs, sql servers, sftp reqs and also worked with DBT, BigQuery and Metabase.
• Played around data, call out inconsistencies in logic, replace hard coded data to
• automated versions, optimize the code.
• Triaging the incoming JIRA tickets with requests/issues raised by data users including Data
• Scientists, BA’s, PM’s and other users, providing solutions.
• Troubleshooting and resolving pipeline degradations and other Realtime failures.

Jul 2021 – Aug 2023 · 2 yrs 1 mo

• Client: Uber Technologies Inc.
• POC for any data related requirement from the clients.
• Creating complex ETL pipelines, performing data quality checks for extremely complex and large
• datasets. Analyze results and interpret trends in data.
• Working hand in hand with DE team in solving various JIRA tickets which involved creating and
• maintaining Adtech Plugins and data pipelines.
• Coding in multiple languages like Python or Ruby to create plugins and connectors used for
• sending out and fetching ROI / audience data from partners like Facebook, AdWords etc
• Triage failures, identify root cause and define corrective actions.

Jan 2020 – Jul 2021 · 1 yr 6 mos · Bengaluru Area, India

• Fulfilling any data related requirement from seller account managers, product managers, project
• managers, team leads, etc
• Analyzing the requirement from stakeholders and presenting the implementation approach. Creating
• and updating the proposal docs with the same. Implementation, Review and incorporating the
• feedback.
• Analyzing the root cause for any issues related to sellers, sales, customers, products, etc and providing
• insights based on data deep dives.
• Creating ETL pipelines and Data Tables on regular basis according to requirements from teams.
• Creating queries and reports for daily/weekly deliveries.
• Creating and sharing weekly and monthly reports along with Week over Week changes and trends.
• Calling out any ups and downs in trend numbers and the reason behind the same.
• Automating ambiguous or recurring reports, tasks or anything which is required on a regular basis.
• Creating dashboards using AWS Quicksight for data visualization.
• Suggesting new features or improvements in current processes for smooth onboarding of products or sellers and maintaining them throughout using trends in data.

Mar 2019 – Dec 2019 · 9 mos

Aug 2018 – Feb 2019 · 6 mos

Jul 2018 – Aug 2018 · 1 mo · Bengaluru Area, India

Jan 2018 – Jun 2018 · 5 mos · Jaipur Area, India

Jun 2017 – Jul 2017 · 1 mo · Yongin, Gyeonggi-do, Korea

• Inter-Disciplinary Capstone Design Program

May 2017 – Aug 2017 · 3 mos · India

• Training in :
• Python for Data Science and Machine Learning

Sep 2016 – Sep 2016 · 0 mo · Jaipur Area, India

• Conference

Jun 2016 – Jul 2016 · 1 mo · Noida Area, India

• Java and Android