Rajesh M.
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Rajesh M. Email & Phone Number

Sr Data Engineer at Paycom
Location: Plano, Texas, United States 6 work roles 2 schools
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✓ Verified May 2026 3 data sources Profile completeness 86%

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Current company
Role
Sr Data Engineer
Location
Plano, Texas, United States

Who is Rajesh M.? Overview

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Rajesh M. is listed as Sr Data Engineer at Paycom, based in Plano, Texas, United States. AeroLeads shows a matched LinkedIn profile for Rajesh M..

Rajesh M. previously worked as Data Engineer at Walmart and Data Engineer at Lowe'S Companies, Inc.. Rajesh M. holds Masters from University Of Colorado Denver.

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Paycom

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Profile bio

About Rajesh M.

Rajesh M. is a Sr Data Engineer at Paycom.

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Rajesh M.'s current company

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Paycom
Paycom
Sr Data Engineer
Website
AeroLeads page
6 roles

Rajesh M. work experience

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Sr Data Engineer

Current

Oklahoma City, Oklahoma, US

  • Design and developed the streaming framework which ingest the data from sources like Kafka, S3 to AWS S3, Kafka, GreenPlum.
  • Developed the pipeline to ingest the data from MySql to AWS S3 using Spark & deployed to Kubernetes cluster using Helm Charts.
  • Developed the helm chart for a Spark job to deploy multiple jobs in Kubernetes cluster.
  • Design and developed the Spark data optimization pipeline which deletes the data of a given AWS S3 delta lake dataset and performs optimize & vacuum using PySpark.
  • Worked on Kubernetes deployments of Spark jobs using Helm charts.
  • Implemented jobs to ingest streaming data from Kafka to Greenplum database using GPSS (Greenplum Streaming Server).
Nov 2022 - Present

Data Engineer

Bentonville, Arkansas, US

  • Developed the ETL process using PySpark and converted the alteryx workflows to PySpark.
  • Migrated the workflows from Cloud break cluster to Data Proc cluster.
  • As part of GCP migration, converted the complex hive scripts to Spark Scala.
  • Written Spark scripts in order to load the target data into Hudi tables.
  • Applied Spark performance techniques in order to optimize and improve the query run time.
  • Worked on building the pipelines in Atomic to load the data from raw zone to GCS stage bucket, performed various transformations and loaded the data into Big Query tables.
Oct 2021 - Oct 2022

Data Engineer

Mooresville, NC, US

  • Developed a framework to auto trigger the oozie jobs based on the status using oozie web service, hbase and Scala.
  • Developed python script to convert the JSON files to csv before it load into HDFS.
  • Implemented the check point mechanism in order to rerun the job from the failure step in Spark Python.
  • Optimized Hive queries using Bucketing.
  • Converted complex Hive queries into Pyspark.
  • Developed complex requirements in dataframe’s using Pyspark and pushed into Hbase for dashboard.
Mar 2020 - Sep 2021

Big Data Developer

Rosemead, CA, US

  • Worked on analyzing Hadoop stack and different Big data tools including Pig and Hive, Hbase database and Sqoop.
  • Used Talend ETL tool to perform data processing from source to Stage and Stage to Core.
  • Developed an automated ingestion framework using Talend tool to load data from BW SAP to HDFS.
  • Developed data pipeline using flume, Sqoop and pig to extract the data from weblogs and store in HDFS.
  • Used Hive to analyze the partitioned and bucketed data and compute various metrics for reporting.
  • Worked with different data sources like Avro data files, XML files, JSON files, SQL server and Oracle to load data into Hive tables.
Jan 2019 - Feb 2020

Big Data Developer

Cvs
  • Imported the data from various formats like JSON, Sequential, Text, CSV, AVRO and Parquet to HDFS cluster with compressed for optimization.
  • Worked on ingesting data from RDBMS sources like - Oracle, SQL Server and Teradata into HDFS using Sqoop.
  • Loaded all data-sets into Hive from Source CSV files using Spark.
  • Built a Ingestion Framework that would ingest the files from SFTP to HDFS using Apache NIFI.
  • Configured Hive and written Hive UDF's and UDAF's Also, created Static and Dynamic with bucketing as required.
  • Managing and scheduling Jobs on a Hadoop cluster using Oozie.
Nov 2017 - Dec 2018

Big Data Developer

Bedford, MA, US

  • Installed & configured multi-node Hadoop Cluster and performed troubleshooting and monitoring of Hadoop Cluster.
  • Managing, defining and scheduling Jobs on a Hadoop cluster.
  • Wrote Hive queries for ad-hoc reporting and ETL.
  • Worked with different file formats such as Text, Sequence files, Avro, ORC and Parquette.
  • Worked on NOSQL database Hbase.
  • Optimizing Hadoop MapReduce code, Hive and Pig scripts for better scalability, reliability and performance.
Mar 2016 - Oct 2017
Team & coworkers

Colleagues at Paycom

Other employees you can reach at paycom.com. View company contacts →

2 education records

Rajesh M. education

Masters

University Of Colorado Denver

Bachelor'S Degree, Computer Science

Jawaharlal Nehru Technological University
FAQ

Frequently asked questions about Rajesh M.

Quick answers generated from the profile data available on this page.

What company does Rajesh M. work for?

Rajesh M. works for Paycom.

What is Rajesh M.'s role at Paycom?

Rajesh M. is listed as Sr Data Engineer at Paycom.

Where is Rajesh M. based?

Rajesh M. is based in Plano, Texas, United States while working with Paycom.

What companies has Rajesh M. worked for?

Rajesh M. has worked for Paycom, Walmart, Lowe'S Companies, Inc., Southern California Edison (Sce), and Cvs.

Who are Rajesh M.'s colleagues at Paycom?

Rajesh M.'s colleagues at Paycom include Eden Murphy, Erin B, Lance Barnes, Stephanie Badillo, and Chywatt Dy.

How can I contact Rajesh M.?

You can use AeroLeads to view verified contact signals for Rajesh M. at Paycom, including work email, phone, and LinkedIn data when available.

What schools did Rajesh M. attend?

Rajesh M. holds Masters from University Of Colorado Denver.

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