About

VishvaJeet Singh is a seasoned Data Solution Architect with over 13 years of experience in designing innovative business solutions in the Healthcare, Entertainment, Energy, and Utility domains. He is currently working as a Senior-Big Data Engineer at Definitive Healthcare, where he specializes in Enterprise Data Integration, Enterprise Data Management, and Data Analytics. Singh has a proven track record of building big data ingestion pipelines on-prem and cloud for data onboarding, centered around service-based architecture and complex event processing. He is a hardworking, creative, quick learner, and eager to learn new technologies and design patterns. Singh's technical expertise includes a range of Big Data Suite tools such as Cloudera CDH, Hortonworks Data Flow (Nifi), Spark, Hive, Impala, Kafka, Sqoop, Hue, Cloudera Navigator, Airflow, Databricks, Informatica BDM, and Hudi. He is also proficient in AWS Stack tools like S3, Lake Formation, EMR, EC2, Lambda, Glue, Athena, Kinesis, VPC, DynamoDB, and CloudFormation, as well as Azure Stack tools such as Azure SQL, Azure Blob, ADLS GEN2, Azure Service Bus, Azure Data Factory, and HDInsight. Singh has a strong background in operating systems such as REHL, Unix, and Windows, and he is proficient in languages such as Python, Scala, Shell Scripting, SQL, and Java. He has extensive experience with databases such as Oracle, Teradata, DB2, and MS SQL Server, as well as ETL tools like Informatica Power Center and Informatica Power Exchange. Singh has worked with various other tools such as GitHub, Azure DevOps, Version One, Kubernetes, Docker, and Notebook. He is well-versed in design patterns and concepts such as Microservices Architecture, Data Governance, Automated Dataset Execution, Centralized Dataset Governance, Processing Abstraction, and Fan-In and Fan-Out ingress. He is also experienced in Agile project management. Singh's past experience includes working as a Solutions Architect and Senior Big Data Engineer at HMS, where he established the first Hadoop Big Data Platform and developed data pipelines using Informatica BDM, Hadoop Ecosystem, Spark, Nifi, Navigator, and Azure Topics for real-time quality assessment of data. He also worked on upgrading Cloudera Hadoop platform from version 5.3.x to 5.9.x and