stream processing , Java, Golang, Data Transformation, Scala, Kafka, Sql, Spark, data structures, Python, Airflow, NoSQL databases, message queuing, Root Cause Analysis, workload management, big data tools, Relational Databases, unstructured datasets, data sets, metadata dependency, cloud-based data warehouse

snowflake , Data Warehousing Concepts, Dimensional Modeling, Sql, Etl, ELT, data engineering tools, AI-assisted development tools, generative AI technologies, BI and analytics platforms

snowflake , Github, PostgreSQL, React, Terraform, AWS, Bi Tools, Sql, Ruby On Rails, Etl, CI CD, cross-functional initiatives, RAG ingestion pipelines, Fivetran, BI reporting dashboards, Git-based workflows, analytics platforms, Airbyte, vector store management, Semantic Layer, infrastructure-as-code, ELT pipelines, dbt, embedding generation

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

qa engineering , composer , DevSecOps, Bdd, Kafka, BigQuery, Redis, MySQL, Atdd, Python, Kubernetes, Gcp, Tdd, Spark, Airflow, SRE, Xp

snowflake , Python, Sql, Apache Airflow, Azure Data Factory, Azure Synapse, Hl7, 837, 835, X12, dbt, FHIR

S3, Data Transformation, Data Modelling, PostgreSQL, SQL Server, Kafka, Schema Design, Redshift, Sql, Git, MySQL, MongoDB, Google Analytics, Python, AWS, user behaviour tracking, event-driven architectures, Looker, Snowplow, dbt, AWS Kinesis

Dynamodb, Databricks, Sql, Apache Airflow, CDK, AWS Glue, Apache Spark, Kinesis, Postgres, Kafka, MLops, AWS, Cassandra, Nosql, Python, Terraform, MongoDB, MLflow, Flink

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