[email protected]

Binod Kumar

Binod Kumar

17 years of experience India

Skilled engineer with over 15 years of hands-on leadership in technology, product engineering, processes & Data Migration. Capable to create, articulate & lead the technology strategy and product roadmaps. During his work he gained experience in creating an event-driven system using Apache Kafka and Kafka Connect and handled schema evolution with Schema Registry, as well as designing and building versatile solutions using different technologies to effectively contribute to a successful completion of a project.

He loves speaking at conferences and enjoys sharing his knowledge with a big audience.

Scala Apache Cassandra Kafka Docker Hub Python

Experience

Senior Manager
Jul, 2021 - Present
Capgemini
  • Working as a Senior Manager developing a powerful & secure analytical platform for the client.

    Responsibilities:
    - Leading the product development team for a Co.dx
    - Build a Realtime, wholistic, distributed analytics system using Kafka, Cassandra, Spark Streaming, and Splunk
    - Extract Real time feed using Kafka and Spark Streaming and convert it to RDD
    - Process data in the form of Data Frame and save the data as Parquet format in HDFS
    - Develop reusable code using Scala Traits feature, with the ability to scale with very large data volumes
    - Understanding of file formats including JSON, Parquet, Avro, and protobuf
  • Technologies: Python, PySpark, Scala, Kafka, Apache Cassandra, AWS S3, Amazon Redshift
Senior Data Engineer
Jul, 2019 - Jul, 2021
Essentra Component UK
  • - Defined product roadmap and minimum viable product (MVP) for a Component and Filters Division
    - Designing, implementing high-performance data processing pipelines and frameworks, implement rules & automate data cleansing, mapping, transformation, logging, and exception handling Using Tools like Cassandra, AWS Databrick, Spark, Kafka
    - Created procedures to import data in to Splunk engine
    - Expertise In Performance tuning and Optimization for Each Segment of Data Pipelines
    - Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using EMR, S3, Redshift, Spark, python, Kafka
    - Design Automate Test, Build, Release and Deploy Framework CI/CD Pipeline with Git , Jenkins and Ansible
  • Technologies: Databricks, Kafka, Splunk, EMR
Technical Lead
Mar, 2019 - Jun, 2019
Sonata Software
  • - Evangelized products and services on SaaS and PaaS platforms on public and hybrid cloud environment to drive business critical services and expand customer base
    - Develop Cassandra cluster mechanism that includes replication strategies, snitch, gossip, consistent hashing and consistency levels
    - Monitoring, Design a Logging
    - Monitoring solution using Splunk
  • Technologies: Splunk, Apache Cassandra, Azure DevOps, Spark Streaming
Data Engineer
Mar, 2018 - Feb, 2019
TruGlobal
  • - Involved in the process of Conceptual and Physical Data Modelling techniques
    - CQL to run queries on the data present in Cassandra Cluster with multi DC's in 8 nodes each
    - Created the necessary keyspaces and modelled column families based on the queries
    - In charge of the architecture, design and development of re-usable platforms for building several products like RP1,HA, and GD1
  • Technologies: Snowflake, Spark Streaming, Informatics
SQL Developer
May, 2014 - Nov, 2018
LKQ Corp
  • - Support daily Cloud operations tasks and to design and implement new infrastructure for migrate the existing components to AWS cloud
    - Analyze, Build and optimize various workflows and data pipelines
    - Ensure accuracy of data by building fault resistant and anomaly detection systems.
    - Deploy a data security framework to keep customers data secure in our platform
  • Technologies: MS SQL Server, SSIS, ADF, MS SQL Server, Azure Pipelines, SQL, Analytics
Engineer
Jul, 2006 - Nov, 2013
IHS Inc USA
  • - Designed and implemented ETL and business intelligence for Product called as PCN Intelligence
    - Meet component management challenges head-on by continuous monitoring of customer AVL
    - Delivery of a daily summary of manufacturer-published notices potentially impacting parts on customer AVL, - Quickly identify high impact notifications so that customer can maintain a healthy supply chain
  • Technologies: MS SQL Server, SSIS, Data Warehousing, ETL, SQL Server Reporting Services (SSRS)

Education

Engineering Diploma In Electronics and Communication
2002 - 2005
Department Of Technical Education Karnataka- AICTE

Achievements

Accomplishments

Speaker at Bengaluru Tech Summit
Feb, 2019
Talked on building event driven architectures and real time steaming pipelines