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Nithesh P

Data Engineer

Austin, Texas, United States0 mo experience

Key Highlights

  • Expert in building data pipelines using AWS.
  • Proficient in data engineering and ETL processes.
  • Strong background in data analysis and reporting.
Stackforce AI infers this person is a Data Engineer with expertise in Fintech and SaaS environments.

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Skills

Core Skills

Data EngineeringAws

Other Skills

Microsoft SQL ServerAmazon Elastic MapReduce (EMR)SparkHiveImpalaHBasePythonAWS GlueAWS AthenaPySparkApache AirflowAmazon Web Services (AWS)

Experience

0 mo
Total Experience
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Average Tenure
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Current Experience

Visa

Data Engineer

Sep 2021Present · 4 yrs 8 mos

  • This Project implementation is part of the Banking & Credit System and serves as a wholesale lender and business-service provider to a network of local farm credit associations. The project’s goal is to develop a data pipeline using AWS, Spark, Hive, Impala, and HBase to ingest customer behavioral data and financial histories into Hadoop cluster for analysis. This implementation also involves developing backend coding using Python and AWS server less to convert the XML data coming from S3 bucket
Microsoft SQL ServerAmazon Elastic MapReduce (EMR)Data EngineeringAWS

Cloudflare

Data Engineer

Apr 2019Aug 2021 · 2 yrs 4 mos · California, United States · Remote

  • ● Worked extensively with importing metadata into Hive and migrated existing tables and applications to work on Hive and AWS cloud.
  • ● Created data pipeline for different events of ingestion, aggregation, and load consumer response data in AWS S3 bucket into Hive external tables in HDFS location to serve as feed for Tableau dashboards.
  • ● Worked on AWS glue ETL tool, in which we used AWS Glue Crawler, AWS Glue Data catalog and Connections.
  • ● Worked on AWS Athena query service that makes it easy to analyze the data in Amazon S3 using standard SQL.
  • ● Worked in an agile environment where I needed to interact with project owners on development activities and proposed new ideas to automate certain activities in the project using Python scripts.

Walmart

Data Engineer

Dec 2016Mar 2019 · 2 yrs 3 mos

  • Project mainly focuses on developing new products built on data platforms that ingest, manage and process data from all of client’s’ businesses. Build and run ETL pipelines to onboard data into the platform, define the schema, build digital reports for processing pipelines, and monitor data quality.

Nexus corporation

Data Analyst

May 2015Nov 2016 · 1 yr 6 mos

  • This project is an implementation of the Apache Hadoop technology stack on the Microsoft Azure cloud platform. I was involved in Data Analysis, Data Profiling, Data Integration, Migration, Data governance, metadata management, and Master Data Management and Configuration Management. The Project involved in developing the dashboards in Tableau, Power BI environments for Metrics and Compliance department. Focused on providing analytics insights and decision support tools for executives for accurate decision making.

Facebook

Data Analyst

Jul 2011Nov 2013 · 2 yrs 4 mos

  • Data Analyst for the Robotic Process Automation Project, As a Data analyst, my major role was ad-hoc reporting, creating multiple new reports in Power BI for the team based on understanding the requirements of the users.

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