
Prashanth Rapolu
Prashanth has extensive experience in Data Engineering, Data Analytics, and Management. He is a seasoned engineer with command... | Menlo Park, California, United States
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Prashanth Rapolu’s Emails pr****@ho****.com
Prashanth Rapolu’s Phone Numbers No phone number available.
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Prashanth Rapolu’s Location Menlo Park, California, United States
Prashanth Rapolu’s Expertise Prashanth has extensive experience in Data Engineering, Data Analytics, and Management. He is a seasoned engineer with command in both hands-on development of ETL/ELT pipelines from scratch as well as leading and guiding teams to build efficient data pipelines. He has industry experience architecting/designing ETL pipelines in multiple clouds like Snowflake, GCP, Azure, and AWS. Prashanth is highly skilled in architecting end-to-end cloud-native data solutions, and building state-of-the-art cost-effective data pipelines with logging, alerting, and monitoring mechanisms in Finance, Marketing, and Hospitality Domains. He specializes in data strategy, exploratory data analysis, extracting insights, data visualization, machine learning, hiring, and building teams, and guiding teams to success focusing on business strategy. Skills: Python, SQL, SparkSQL, Hive, Git, Jenkins, Airflow, Matillion, Databricks, Kafka Cloud: Snowflake, GCP(GCS, Dataproc, Cloud Composer, BigQuery, Looker), Azure(ADLS, ADF, AKV, Azure DevOps), AWS(S3, EMR, Lambda, Redshift) ML: A/B Tests, Regression (Logistic and Linear), Clustering, Classification (Decision Tree, Random Forests), Neural Networks
Prashanth Rapolu’s Current Industry Meta
Prashanth
Rapolu’s Prior Industry
Accenture
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Decooda
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The Home Depot
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Emaestro Technologies
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Wayfair Professional
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Meta
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Work Experience

Meta
Data Engineer
Mon Apr 01 2024 00:00:00 GMT+0000 (Coordinated Universal Time) — Present
Wayfair Professional
Manager - Data Insights and Analytics
Thu Jun 01 2023 00:00:00 GMT+0000 (Coordinated Universal Time) — Fri Dec 01 2023 00:00:00 GMT+0000 (Coordinated Universal Time)
Emaestro Technologies
Senior Data Consultant
Wed Jun 01 2022 00:00:00 GMT+0000 (Coordinated Universal Time) — Mon May 01 2023 00:00:00 GMT+0000 (Coordinated Universal Time)
The Home Depot
Senior Data Engineer
Sun Nov 01 2020 00:00:00 GMT+0000 (Coordinated Universal Time) — Sun May 01 2022 00:00:00 GMT+0000 (Coordinated Universal Time)
Decooda
Data Engineer II
Sat Jun 01 2019 00:00:00 GMT+0000 (Coordinated Universal Time) — Thu Oct 01 2020 00:00:00 GMT+0000 (Coordinated Universal Time)
Decooda
Data Engineer I
Tue May 01 2018 00:00:00 GMT+0000 (Coordinated Universal Time) — Wed May 01 2019 00:00:00 GMT+0000 (Coordinated Universal Time)
Accenture
Data Engineer
Fri Jul 01 2016 00:00:00 GMT+0000 (Coordinated Universal Time) — Tue Aug 01 2017 00:00:00 GMT+0000 (Coordinated Universal Time)