✔️ Strong expertise in data, AI, and cloud infrastructure.

✔️ Proficiency in Python, SQL, and basic scripting (Shell/Bash).

✔️ Experience working with Azure Databricks, GCP, or AWS.

✔️ Hands-on experience with Apache Spark, Hive, Hadoop, and Big Data ETL tools.

✔️ Knowledge of Jenkins, JIRA, Bitbucket, Bamboo, Azure DevOps, and Git.

✔️ Strong experience in SQL databases (Oracle, SQL Server, DB2) and NoSQL databases.

Requirements

• Develop and maintain scalable data pipelines from multiple data sources.
  
  🔹 Collaborate with cross-functional teams to source, process, and integrate data efficiently.
  
  🔹 Support in designing AI-driven data solutions for business intelligence and automation.
  
  🔹 Partner with stakeholders to manage project risks and track delivery progress.
  
  🔹 Ensure timely execution of project milestones, deadlines, and budgets.
  
  🔹 Troubleshoot, fine-tune, and optimize large-scale data processing jobs for performance.