Chinmay Kolhatkar

Director of Engineering

Pune, Maharashtra, India16 yrs 8 mos experience

Most Likely To SwitchHighly Stable

Key Highlights

Expert in Big Data Analytics and Cloud Technologies
Contributed to major Open Source projects in Big Data
Proven leadership in managing engineering teams

Stackforce AI infers this person is a Big Data and Cloud Computing expert with strong leadership in IoT and Open Source projects.

Contact

Skills

Core Skills

Big Data AnalyticsCloud ComputingOpen Source Contribution

Other Skills

AWSCI/CDTeam ManagementIoTDevOpsMachine LearningHadoopKafkaSparkApache ApexDockerYARNHDFSCC++

About

* Managing team of 10 engineers * Experience in Big Data Analytics technology involving realtime/batch ETL, Analytical Storage systems * PMC Members and contributor in Big Data Open Source projects * Experience in Microservices architecture docker, kubernetes * Experience in high performance server side programming

Experience

16 yrs 8 mos

Total Experience

4 yrs 2 mos

Average Tenure

5 yrs 6 mos

Current Experience

Change healthcare

Senior Architect (Contractor via Innova Solutions)

Nov 2020 – Present · 5 yrs 6 mos · Pune, Maharashtra, India

Managing team of 10 engineers
Architecting Change Healthcare's Big Data Analytics Platform in AWS
Solution architecture for BU onboard on platform
Lead development team to deliver platform components
Assist QA in automation
Building CI/CD pipelines for platform components
Team building in India

Big Data AnalyticsAWSCI/CDTeam ManagementCloud Computing

Orbcomm

Architect / Engineering Manager

May 2018 – Nov 2020 · 2 yrs 6 mos · Pune, Maharashtra, India

Architecting OrbComm's Big data analytics cloud in AWS
Lead team in multiple projects for big data development and deployment
Supporting DevOps team for big data deployment
Design and architected the ingestion massive amount of IoT data from various sources into AWS Cloud.
Design and develop the data processing pipelines to create a smart SaaS analytics product(s). These include machine learning/artificial intelligence, OLAP, etc.
Tech used are : Hadoop stack, Cassandra, Kafka, Kafka Streams, Spark, Druid, Apache Apex, Airflow, AWS, Kubernetes, MySql/Oracle, ML
Product features include OLAP, rules, machine learning, video analytics, fast big data, key val stores, columnar stores, etc.. IoT analytics includes a purpose built operational data lake and fast big data pipelines. We are among the leaders in IoT analytics space, enabling our customers to transition to analytics with a big ROI

Big Data AnalyticsAWSIoTDevOpsMachine LearningCloud Computing

Datatorrent

Technical Development Manager

May 2015 – Apr 2018 · 2 yrs 11 mos · Pune Area, India

Leading team of 4 people for various development activities involved in the team
Architected and designed the components of DataTorrent RTS
Manage Sprint activities and delivery of the modules and projects.
Also was actively contributing into the development activities.
Contributed to open source project Apache Apex which is a big data low latency streaming engine. Promoted from contributor to a committer and then to a PMC member in a Apache Apex project.
Integrated Apache Beam, Apache Calcite and Apache Bigtop with Apache Apex for various purposes
Presented at few conferences for Apache Apex including Apache: Big Data Europe 2016
Designed and developed a home grown flavour of Druid using Apache Apex & YARN as resource managers. This setup makes the deployment as seamless as launching an YARN application. This provides a fault tolerant as well as scalable Druid setup. As s part of this project, low level details of Druid was learned and adopted into a different environment.
Designed and developed a realtime metric system for Apache Apex using HDFS as single write and multiple read path.
Worked on in house runtime manager for Apache Apex application called DataTorrent RTS for integrating docker and other technologies