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

Sql, Devops, MLops, Metadata Management, Performance Tuning, Python, Delta Lake, Cloud-native engineering, Infrastructure-as-Code, Cost management, Predictive AI, Data observability, AWS Databricks

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

Kubernetes, Java, Java Spring, Ci, Solr, Saas, Paas, Kafka, Iaas, AWS, Lucene, Sns, Python, Sqs, Elasticsearch, REST, cd, OpenSearch, temporal, Flink, application performance monitoring tools, NoSQL databases

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

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

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