Azure Data Factory, Spark, Databricks, Data Governance, Python, Sql, Etl, ELT

composer , BigQuery, Spark, Dataproc, Python, Sql, data fusion, DataOps, GCS, Dataform

Kafka, Sql, Gcp, Spark, Databricks, Azure, Python, AWS, Airflow, CI CD, Unity Catalog, infrastructure-as-code, dbt, Delta Lake

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

Dimensional Modeling, Sql, Python, Sdlc, Aws, IT

snowflake , Github, Terraform, Gitlab, Qualys, AWS, Airflow, dbt, Nessus, Fivetran

Cassandra, PostgreSQL, Distributed Systems, MySQL, AWS, Java, Rust, Dynamodb, Gcp, MongoDB, Azure, data pipelines, streaming systems, Benchmarking, Go, Data Storage, Capacity Planning, retrieval, advanced algorithms, SQL databases, observability, ClickHouse, NoSQL databases, event-driven architectures, scalable data structures, Performance Analysis

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

Java, Hive, Hadoop, Scala, Spark, Kafka, Kubernetes, Python, Trino, Flink

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