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

data vault , Apache Spark, Kafka, Data Modeling, Data Warehousing, Sql, Dimensional Modeling, ELT, Kinesis, Python, Etl, Apache Iceberg, Airflow, CDC-based data ingestion, Monitoring solutions, Performance optimization, Flink, Batch streaming, Workflow orchestration, Partitioning schema evolution, Delta Lake, Apache Hudi, Data quality frameworks

data discovery , Google Cloud Platform, Kafka, Data Modeling, Data Lineage, Sql, Metadata Management, Python, Data lakehouse principles, Parquet, cdc, SCDs, Streaming architectures, Google BigQuery, Dimensional models, Pub Sub, AI ML use cases, Google Cloud Storage, Data pipelines, Data versioning

Github, Apache Flink, Csv, PostgreSQL, Apache Spark, Edi, Json, Redis, Typescript, Docker, MySQL, Xml, MongoDB, Restful Apis, Python, Airflow, Go

Java, Python, Spark, Kafka, Trino, Iceberg

Scala, C, Java, Python, Apache Spark, Javascript, streaming data pipelines, big data systems

snowflake , Sqlalchemy, Microsoft Azure, FastAPI, Python, Kubernetes, Azure DevOps, Confluent Kafka, Pydantic

React, Terraform, Docker, Kubernetes, Python, AWS, Data Pipelines, Go, AI-assisted tooling, Analytics Systems

Rabbitmq, Data Security, Kafka, Infrastructure Management, ETL frameworks, Airflow, large-scale messaging systems, dbt, workflow or orchestration frameworks, metrics stores