Devansh Mishra

Principal Databricks Data Platform Engineer

Data EngineeringLead Data EngineerDatabricksAvailable for hire
Experience
10+ yrs
Skills
24
Projects
5
Certifications
4

Results-oriented Databricks professional with 10 years of experience delivering enterprise data platforms, cloud migrations, real-time analytics, and Lakehouse solutions using Apache Spark, Delta Lake, Unity Catalog, and Azure Databricks. Experienced in building scalable data pipelines, optimizing performance, and implementing governance for large organizations.

Expertise & skills

Core Skills
DatabricksDatabricks SQLDelta LakeDelta Live TablesUnity CatalogAuto LoaderApache SparkPySparkSpark SQLStructured StreamingKafkaPythonSQLScalaAzure Data FactoryADLS Gen2Azure SynapseGitAzure DevOpsJenkinsTerraformSnowflakeSQL ServerPostgreSQL

Selected projects

Responsibilities

  • Built enterprise Lakehouse using Medallion Architecture.
  • Developed incremental ETL pipelines with Auto Loader.
  • Reduced batch processing time by 57%.
  • Implemented Delta Lake optimization and partitioning.
  • Automated deployments using CI/CD.

Environment · Azure Databricks, Delta Lake, Auto Loader, PySpark, Azure DevOps

Responsibilities

  • Created real-time event processing pipelines.
  • Integrated Kafka with Structured Streaming.
  • Processed over 18 million events daily.
  • Improved dashboard latency significantly.

Environment · Databricks, Kafka, Structured Streaming, Python

Responsibilities

  • Migrated legacy Hadoop workloads to Databricks.
  • Converted Hive jobs into optimized PySpark notebooks.
  • Reduced infrastructure costs by 42%.
  • Improved reliability using Delta Live Tables.

Environment · Azure Databricks, Spark, Hive, Delta Live Tables

Responsibilities

  • Developed reusable data quality framework.
  • Implemented Unity Catalog governance.
  • Configured row-level access controls.
  • Created centralized metadata repository.

Environment · Unity Catalog, Databricks, SQL

Responsibilities

  • Created reusable feature pipelines.
  • Integrated MLflow for experiment tracking.
  • Automated feature refresh processes.
  • Improved model readiness for analytics teams.

Environment · MLflow, Databricks, PySpark

Certifications

  • Databricks Certified Data Engineer Professional
  • Databricks Certified Associate Developer for Apache Spark
  • Microsoft Certified: Azure Data Engineer Associate
  • Microsoft Certified: Azure Solutions Architect Expert

Education

  • Vellore Institute of Technology (VIT)

Achievements

  • Completed 40+ Databricks enterprise implementations.
  • Optimized Spark jobs improving performance by 57%.
  • Migrated 700+ ETL workflows to Databricks.
  • Processed 30+ TB of data daily.
  • Reduced cloud infrastructure costs by 42%.
  • Implemented enterprise-wide data governance using Unity Catalog.

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