DP

Dushmanta kumar Padhi

Also known as: DK Padhi

Gandhi Engineering College, Gandhi Institute of Engineering and Technology, Biju Patnaik University of Technology

ORCID iD 0000-0002-2268-1615
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About

An experienced data architect with extensive knowledge of big data, ML, and cloud technologies. Expertise in technical solution architecture, data engineering, integration/data services, and implementing enterprise data analytics solutions that adhere to Big Data and Cloud architectural guidelines. experience migrating data from on-premises to the cloud and developing new applications using AWS/GCP/Azure cloud servicesData Expertise in Data Modelling, Data Profiling, Data Analysis, Data Security, Data Visualization, Audit and Data Governance. Pre-sales and delivery experience of data & analytics services and solutions in Big Data and Cloud offerings. I have been in charge of many data sharing and digital transformation projects in a wide range of fields, including banking, insurance, telecommunications, and the public sector.
Certifications:Google Certified Professional Data Engineer, AWS Certified Machine Learning Specialty, AWS Certified Big Data Specialty, AWS Certified Solutions Architect-Associate, Hortonworks Certified Hadoop Developer, Hortonworks Certified Hadoop Administrator, Databricks Certified Spark Developer, Microsoft Certified on Data Visualization using Power BI, Microsoft Certified on Querying Data with Transact-SQL, IBM Certified Webservices Developer, IBM Certified SOA Associate, Oracle Certified Java Web Component Developer. A Sun-Certified Java Programmer.
• Big Data Stack: Cloudera (CDP/CDF), Hortonworks, Spark, Kafka, HDFS, MapReduce/YARN, Hive, Impala, Tez, Phoenix, Sqoop, HBase, Oozie, Ranger, Knox, Kerberos, Nifi & Hue.• GCP Stack: Cloud Storage, Dataflow, BigQuery, Cloud SQL, Cloud IAM, Dataproc, GKE, Google Compute Engine, BigTable, Pub/Sub, & Google App Engine.• AWS Stack: S3, Glue, Athena, RDS Aurora, IAM, EMR, EC2, Workdocs, QLDB, Code Commit, Cloud Watch, API G/W, Lambda, SNS, & Kinesis.• Azure Stack: Data Factory, Datalake Storage, Azure SQL Data warehouse, Event hubs, Stream Analytics, Cosmos DB, Azure Databricks, HDInsight• Container Orchestration: Docker, Kubernetes• Programming & Scripting languages: Scala, Java/J2EE, Python, Unix, Shell Scripting• Version Control & DevOps Toolset: JIRA, GIT, Jenkins, Bitbucket• Development IDE: Eclipse, IntelliJ, MySQL Workbench, Jupyter Notebook• Relational DB: Oracle, MySQL, SQL Server• Workflow Scheduler: Apache Oozie, ControlM•Data Visualization: Data Studio, QuickSights, Tableau, Power BI

Employment

  • Gandhi Engineering College Associate Professor
    2022 - Present

Education

  • Gandhi Institute of Engineering and Technology Ph.D
    2019 - Present
  • Biju Patnaik University of Technology Mtech.
    2009 - 2011

Projects & Funding

Projects & funding information is unavailable.

Publications (4)