Sql, data pipelines, data APIs, machine learning concepts

Pyspark, Informatica, Sql, ELT, Lambda, Gcp, Spark, Ab Initio, Databricks, Azure, Etl, AWS, Airflow, CI CD, MWAA, EKS, Iceberg, Hudi, Delta, dbt, Glue, Glue EMR

Azure Cosmos DB, Terraform, Azure Data Lake, Azure Bicep, Databricks administration, Azure SQL Database, cloud security best practices, Azure SQL Managed Instance

AWS, Sql, Python, Azure, Gcp, Data lake architectures, Snowflake Cloud Data Platforms, CI CD pipelines

snowflake , Java, Scala, Apache Spark, Kafka, Sql, Databricks, Azure, Python, AWS, Oracle AI Data Platform, Delta Lake

Java, Typescript, Docker, Agile Development Methodologies, Spring Boot, Kubernetes, software engineering principles and best practices, Relational Databases, web development tools and frameworks, Angular v16

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

.NET, Distributed Systems, Apis, Data Modeling, Sql, Devops, Git, MLops, Python, Azure DevOps, RAG Prompt Engineering, Production Reliability Practices, Domain-Specific AI Solutions, Model Deployment, Infrastructure-as-Code, Observability