Java, Software Development Management, Cloud Technologies, Gcp, Pivotal Cloud Foundry, Telemetry and Metrics, Leadership, Technical Program Management, Test-Driven Development, AI-assisted SDLC, Workflow Technologies, Agile Development Methodology, Communication

Git, Databricks, Spark SQL, Github, Apache Spark, Sql Development, Scala, Pyspark, Microsoft Azure

Apache Airflow, Apache Spark, Python, Sql

snowflake , Java, Aws Lambda, Pytest, PostgreSQL, Pyspark, SQL Server, Sql, Devops, Git, Pandas, Rest Apis, Oracle, Python, AWS, Airflow, AWS EMR

Spark SQL, Performance Tuning, Pyspark, SQL Server, Azure Synapse, Databricks, Microsoft Azure, CI CD for data pipelines, Lakehouse concepts, Troubleshooting, Azure SQL SQL Managed Instances, Infrastructure-as-code concepts, Git-based development

Databricks, Sql, Pyspark, Azure Data Factory ADF, Spark optimization, CI CD and DataOps practices, Microsoft Azure ecosystem, AI ML enablement, API and integration patterns, conversational analytics, semantic models, advanced data modeling, Data Lakehouse architectures, Agentic AI ecosystems, Real-time and batch data processing, Delta Lake Medallion Architecture, Data governance and data quality frameworks

Python, Valuation controls, quantitative modeling, Risk management

Github, Automated Testing, Cursor, Docker, Gitlab, Azure DevOps, release management, Jenkins, Git, DevSecOps, Bitbucket, Kubernetes, Infrastructure as Code, Metadata API, GitOps, deployment automation, Claude, security integration, GitHub Actions, Salesforce CLI, CircleCI, observability, Salesforce DX, Copado, Azure Repos, Salesforce DevOps, GitHub Copilot, GitLab CI, Gemini, Platform Engineering

operational readiness , Software Delivery, Scrum, data pipelines, mobile backend, agile delivery, cloud-native software products, Compliance, release governance, program management, ML services, Kanban, Engineering Operations