Strategic technical decision-making, Cross-team technical leadership, Enterprise data platform architecture, Cloud-native design, Streaming and distributed processing systems, Large-scale system architecture design, Infrastructure-as-code, Evaluating and modernizing platform capabilities

Java, T-sql, Hadoop, Scala, SQL Server, Kafka, Sql, Jenkins, Azure Data Factory, Docker, Terraform, Spark, Databricks, Azure, Kubernetes, Python, AWS, Airflow, ATLAS, Great Expectations, Glue, Delta Lake

data sharing , snowflake , semantic modeling , Spark, Sql, Java, Kinesis, Kafka, Python, Scala, MetricFlow, dbt, Delta, Query Performance, Iceberg, cloud data warehouses

Gcp, Databricks, Sql, Apache Spark, Kafka, AWS, Python, Azure, Terraform, Scala, Git, AI-assisted development tools, ML engineering, event-driven systems, data security principles, NoSQL databases, data governance frameworks

snowflake , BigQuery, Kafka, Redshift, Sql, Gcp, Kinesis, Spark, Azure, Python, AWS, Airflow, Flink, dbt

data engineering , data vault , Sql, Data Warehousing, Apache Spark, Kinesis, Kafka, Python, Airflow, Flink, Delta Lake, Apache Iceberg, Apache Hudi

change data capture , Java, Hadoop, Scala, Kafka, Sql, Spark, Aws Cloud, Python, Airflow, Pinot, Flink, Iceberg, Trino

vectorization , Apis, Microservices, Python, LLM optimization, Knowledge Artifacts, Prompt engineering, AI Governance, Multi-LLM Strategy, Observability frameworks, Taxonomy Engineering, semantic search, GenAI Development Integration, Data Lakehouse, Agent-based orchestration, Document parsing, Model gateways, Cost Optimization

snowflake , Data Quality, Databricks, Emr, Tensorflow, Kafka, Pytorch, Terraform, Apache Spark, Kinesis, Presto, Distributed Systems, AWS, Kubernetes, Cloud Infrastructure, Docker, Security, Airflow, dbt, Flink, real-time streaming architectures, model serving, LLM hosting, Trino, MLOps tools, Ray, Kubeflow, Infrastructure-as-Code, Redpanda, Governance, data platforms, observability