data engineering , snowflake , Qlik Sense, Power Bi, Data Warehousing, Tableau, Dimensional Modeling, Sql, ELT, Etl, Monitoring, operational best practices, data quality controls, AI-assisted development tools, Large Language Models

Data Architecture, Apache Spark, Data Warehousing, Technical Leadership, Python, Sql, Cloud Data Engineering, Databricks on AWS, Lakehouse Architecture, CI CD DevOps Practices

containerization , Sql, Incident Management, Data Warehousing, Data Architecture, Data Quality, Data Governance, Python, Orchestration, Transformation, Cloud data platforms, Monitoring, Deployment automation, Infrastructure-as-Code, GitOps

snowflake , Vuejs, Continuous Delivery, Ms Sql Server, Maven, HTML, Angular, Stash, Javascript, Docker, MySQL, Data Governance, Oracle, Python, AWS, CSS, Collibra, Agile Methodologies, Scrum, Jira, Sql, Devops, Continuous Integration, Jenkins, Data Quality, Django, Numpy, Git, Pandas, Ansible, Alation, Kanban

Knowledge of MLOps AIOps model monitoring and AI observability frameworks, Experience supporting Generative AI Machine Learning or AI platform initiatives, Analytics Dashboarding BI, Creating executive dashboards for GenAI insights usage performance cost reliability, Relevant cloud certifications Azure Data Engineer Databricks Snowflake, Data Engineering Pipeline Development, Building scalable batch and streaming pipelines for GenAI data telemetry usage model outputs

Java, Scala, Devops, Streaming, Distributed Systems, Python, query compute engines, Data Processing, SRE, Go, cloud platforms, storage lakehouse tech, security governance

snowflake , Databricks, Data Modeling, Sql, NoSQL databases, Data governance frameworks, AI ML architectures

Machine Learning, Distributed Systems, Data Architecture, Spark, Kafka, Cloud Infrastructure, Python, Deep Learning, Generative AI, Go-lang, AIOps

compaction , ECS, Typescript, Kafka, Cloudformation, Terraform, S3, Data Modeling, Data Quality, AWS, Kubernetes, Python, Docker, Spark, Data serving layers, Flink, Streaming pipelines, Data lakes, Schema evolution, Access Control, Pipeline monitoring, Partitioning, Data ingestion frameworks, Governance, Go, Data isolation, Lakehouse architecture, Apache Iceberg, Data observability