Senior Cloud Data Engineer

Technologies:

• Proficient in developing and executing complex data processing and analytics workflows using

  Azure Databricks

  .
• Strong understanding of

  Databricks architecture

  , including clusters, notebooks, secrets management, and storage solutions such as DBFS and Azure Data Lake Storage.
• Hands-on experience with

  Databricks notebooks

  , utilizing advanced features of Python, Scala, and SQL for data manipulation, transformation, and analysis.
• Skilled in using

  Databricks libraries

  , leveraging pre-built functions and APIs for advanced analytics and data engineering tasks.
• Experienced in working with

  multiple API integrations

  for data ingestion and automation.
• Collaborated closely with

  CXO-level and leadership teams

  for requirement gathering, problem discussions, and brainstorming sessions.
• Worked extensively within the

  finance domain

  , contributing to data-driven decision-making and analytics initiatives.