Pravesh Kumar

Senior Software Engineer

Cooch Behar, West Bengal, India11 yrs 1 mo experience

AI ML PractitionerAI Enabled

Key Highlights

Expert in building scalable distributed systems.
Proficient in real-time data processing and analytics.
Strong background in cloud technologies and microservices.

Stackforce AI infers this person is a Data Engineering and Distributed Systems specialist with strong cloud and real-time analytics expertise.

Contact

Skills

Core Skills

JavaMicroservicesAzureApache KafkaApache Spark

Other Skills

AKSArtificial Intelligence (AI)Azure Data LakeAzure Key VaultAzure KustoAzure Service BusCassandraData StructuresDatadogDeep LearningDell PowerEdge ServersDistributed SystemsDockerElasticsearchFunctional Programming

About

My area of interest : Distributed Systems, Data Engineering, Data Mining, Machine Learning and to build applications that have high impact

Experience

Spotnana

Senior Software Engineer

Jun 2025 – Present · 9 mos · Remote

JavaSpring BootPostgreSQLMicroservicesgRPCRESTful WebServices+7

Career break

Health and well-being

Feb 2025 – Jun 2025 · 4 mos · Ranchi, Jharkhand

Microsoft

Software Engineer II

Feb 2020 – Jan 2025 · 4 yrs 11 mos · Noida, Uttar Pradesh, India · Hybrid

Part of Azure Specialized Team @ IDC Noida India
Working on Azure VMware Solutions

Go (Programming Language)AzureMicroservicesDistributed SystemsAzure Service BusFunctional Programming+11

Cisco

Software Engineer III

Jan 2019 – Jan 2020 · 1 yr · Bengaluru, Karnataka, India · On-site

Building new data pipeline from scratch to process data generated from Cisco Contact Center Platform. Developing real time analytics application on top of processed data.
Real Time Data Analytics @ Scale with Kafka Stream
Kafka - Stream, Connect
Process more than 1 billions call events per day
Storage - S3, MySQL and Elastic Search
Hazelcast/Redis - Distributed in-memory cache

Apache KafkaJavaMySQL

Sigmoid

Software Development Engineer II

Aug 2016 – Dec 2018 · 2 yrs 4 mos · Bengaluru, Karnataka, India · On-site

Building end to end data pipelines at scale of TBs of streaming data in real-time. My works involves understanding customers data and their requirements and implementing ETL pipeline for the same.
Real Time Data Analytics @ Scale with Apache Spark
Apache Spark - Spark SQL, Spark Core, GC tuning, Sorts Cost Optimisations
Process 30 billion + events per day
Columnar Storage - Apache Parquet
Alluxio - Distributed in-memory cache

JavaScalaApache SparkMongoDB