Say no to manually filling long application forms
Visit any careers page and a lightning button will pop up on any compatible page with a form
Use ChatGPT to auto-fill job forms
Ask for Referral for any job post
Ramesh Kumar
Big Data & Cloud Architect | Azure | AWS | Lead Data Engineer
About
Ramesh Kumar is a highly experienced Big Data and Cloud Architect with over 12 years of experience in the field. He has extensive knowledge in development and troubleshooting on Hadoop technologies like HDFS, MapReduce, Spark, Hive, Sqoop, etc. and has experience in Cloudera and Hortonworks distribution. Ramesh has expertise in Data Engineering and Cloud migration activities and is skilled in programming languages like Python, Scala, and Java. Ramesh is capable of processing large sets of structured, semi-structured and unstructured data and supporting systems application architecture. He has designed and developed optimized and standardized solutions for Data Integration (from upstream systems), Data Cleansing, Data Transformation, and Data Delivery to downstream systems. Ramesh has also developed and maintained Spark Batch and Streaming applications and has experience in Agile development process using scrum methodology. Ramesh's areas of expertise include Big Data Ecosystem: Hadoop, Hive, Sqoop, Spark (Core & Streaming), Oozie, Kafka, Cloud: Azure, AWS, Languages: Python, Scala, SQL, Java, Shell Scripting, Log Analytics: ElasticSearch, Reporting: Power BI, Database: Oracle, SQL Server, MySQL, DevOps: Docker, Kubernetes, Jenkins, Git, Maven, Terraform, CI/CD pipeline, API Framework: Python Django Flask, and Methodologies: Agile - Scrum. Currently, Ramesh is working as a Technical Lead at Mindtree, where he is responsible for working in an agile methodology, understanding the requirements of the user stories, and preparing High-level design documentation for approval. He has applied business logic using Pyspark and Pandas and extensively used to build various tables. Ramesh has also worked on designing and implementing the Data Delivery format of master data that is understandable by reporting tools. He has presented technical sessions to understand the high-level architecture for the team members and provided technical support to the team to complete the most challenging tasks. Prior to Mindtree, Ramesh has worked as a Technical Lead at HCL and as an Assistant Consultant at TCS. He has a Master's degree in Computer Application from Kongu Engineering College and a Bachelor's degree in Physics from Bharathiyar University. Ramesh has relevant experience of 12.71 years and is skilled in AWS, Senior Software Engineer, Azure, Spark, Data Engineering, Big Data, SQL, Hadoop, Terraform, Apache Hive, Kafka, CI/CD
Education Overview
• kongu engineering college
• bharathiyar university
Companies Overview
• mindtree
• hcl
• tcs
• aon
Experience Overview
13.7 Years
Find anyone’s contact
Experience
Skills
Boost your visibility and stand out to employers with referrals from your LinkedIn connections.
Airflow
Amazon Web Services (AWS)
analytics
apache
Apache Airflow
Apache Hive
Apache Spark
Application Programming Interfaces (API)
architecture
Azure
Azure Databricks
Big Data
cassandra
CI/CD
Containerization
Data Engineering
Data Integration
Data Warehousing
Databricks
Datastage
Design
Django
Docker
Elastic Search
ElasticSearch
Extract, Transform, Load (ETL)
Git
gitub
Hadoop
Hadoop Ecosystem, Spark,Datastage,ETL datawar
hbase
HDFS
High-Level Design
Hive
Informatica
Integration
Jenkins
kafka
Kafka
Kubernetes
Logic and Reasoning
MapReduce
Maven
Microsoft Azure
MongoDB
MySQL
NoSQL
oozie
Pandas
Pandas (Software)
PL/SQL
pyspark
Python
Python (Programming Language)
RDBMS
scala
Scala
Scrum
Senior Software Engineer
Spark
SQL
sql server
sqoop
Sqoop
Technical Support
Terraform
Troubleshooting
unix
Web
Web Services
Contact Details
Email (Verified)
ramXXXXXXXXXXXXXXXXXomMobile Number
+91XXXXXXXX34Education
kongu engineering college
MCA
2007 - 2010
bharathiyar university
Bachelor's degree
2004 - 2007
Frequently asked questions
Find anyone’s contact and let Weekday reach out to them on your behalf
Start hiring nowStop manually filling job applications. Use AI to auto-apply to jobs
Look for jobs now