About

Vivek Kulkarni is a Senior Data Engineer at Cloudaeon with a Master’s degree in Data Science. He is a Big Data enthusiast with a keen interest in Data Engineering. He has a proven track record of building ETL pipelines, discovering insights hidden in vast data, performing statistical analysis, AWS Data Migration, Data Modeling, and translating evaluations into customer-centric solutions. Vivek has worked on various projects using R, Python, Statistics, Machine Learning, ETL, Amazon Web Services (AWS), Docker, CI/CD, etc. He has the ability to coordinate with end-users for designing and implementing analytics solutions as per project proposals. He is an autodidact with strong communication skills, an eye for detail, and is willing to undertake challenging roles that require out-of-the-box thinking, complex problem-solving, and analytical skills. At his current company, Dynamon, Vivek has written AWS Lambda solutions to notify on Slack when the ECS Task is completed using Python and boto3 library. He has built docker images, CI/CD pipelines in Gitlab, and incorporated it into the AWS environment. He has built end-to-end infrastructure using AWS CloudFormation stacks in JSON/YAML format. In his past companies, Vivek has provided efficient ETL solutions to clients using AWS ecosystem. He has utilized the Terraform tool to manage the entire lifecycle of the infrastructure. He has introduced pipeline and automation best practices with the help of Docker, ECS, and Terraform. He has programmed and administered AWS Lambda functions, AWS Step functions, Cloudwatch, etc. Vivek has a Bachelor’s Degree in Information Technology from Dr. Babasaheb Ambedkar Marathwada University, Aurangabad, and a Master’s Degree in Data Science from Mercyhurst University. Vivek’s tech stack includes AWS, Data Engineering, ETL, Python, Data Scientist, Azure, ECS, infra, Docker, ML, Terraform, Web, Big Data, test, Databricks, Research Scientist, Jupyter, NLP, Hadoop, qa, SVM, Random Forest, AWS ECR, Apache Hive, HDFS, Stemming, Scikit, Data Warehouse, MapReduce, NoSQL, MongoDB, Flask, and Integration. He has 3.85 years of relevant experience.