Coding Standards, GenAI tools, Source control management, Code reviews, Testing certification, Engineering team management, Livesite operations, Build processes

Confluence, Jira, Azure, AI ML, GenAI, ML DL

data engineering , virtual desktop infrastructure , agile environment , Machine Learning, Engineering tools, Designing and developing large scale high-traffic applications, AI services, high performance computing, Planning, developing and delivering consumer software, HW engineering Processes, Designing, License and Budget management systems

scalable systems , alerts), regression), Automated testing (unit, blue-green deployments), Progressive delivery (canary, Monitoring and observability (logs, Java, Backend Development, Incident Management, Integration, Sonarqube, AWS, Back-end architecture, Design systems, Root Cause Analysis, FOSSA, Component-driven development, CI/CD pipelines, Release automation

Databases, Apis, Distributed Systems, Testing, System Design, Cloud Infrastructure, Backend Engineering, Reliability, high-performance systems, observability, code quality

Slas, Cloud Infrastructure, Automation Tools, It Asset Management, Itil Processes, Digital Workplace services, Level-1 Service Desk operations, Field Services, GenAI-based enablers, IT service transition planning and execution, KPIs, transition management platforms, Governance

data engineering , bi architecture , snowflake , BigQuery, Redshift, Databricks, Data Analytics, Etl, AI ML Pipeline Integration, GenAI-enabled Analytics, Ai, Synapse

Devops Automation, Performance Tuning, Cloudformation, Pyspark, Azure Databricks, Data Modeling, Sparksql, Sql, Gcp, Terraform, Azure, Oracle, Python, AWS, Unity catalog, Teradata, rbac, Delta Lake, ETL orchestration, CI CD implementation, GenAI Agentic AI, Workload optimization, Medallion architecture

Slowly Changing Dimensions (SCD), Pyspark, Apache Spark, Sql, Dimensional Modeling, Data Warehousing Concepts, Databricks, Distributed Systems, Python, Data pipeline orchestration and optimization, Snowflake schema, DevOps practices, Data governance and security best practices, Data Modeling techniques, Databricks platform and ecosystem, CI/CD pipelines, Large-scale data processing, Delta Lake, Lakehouse architecture

Databases, cloud integration, Apis, Waterfall, virtualization, Kafka, Gcp, Agile, Azure, middleware, AWS, monitoring and observability, end-user computing, enterprise integration platforms, identity platforms, event streaming, infrastructure modernization, backup and DR