Java, Scala, Restful Apis, Kubernetes, Python, Sql, OLAP and OLTP systems, big data engineering

bigtable , Pyspark, PostgreSQL, Kafka, Avro, Cloud Storage, Terraform, Docker, Elasticsearch, Python, Spark SQL, Java, BigQuery, Google Cloud Platform, Scala, Apache Spark, Dataproc, Sql, Oop, DataFlow, Kubernetes, Airflow, Pub Sub, Cloud Composer, Parquet

BigQuery, Sql, Python, dbt, Alembic

.NET, snowflake , Data Quality, React, Data Modeling, Apache Kafka, Python, Sql, AWS

Terraform, Cloudformation, Pyspark, Sql, AWS data stack, CI/CD, IaC

snowflake , change data capture , Github, Databricks, Azure, Python, Sql, Data quality reconciliation, Event processing, CI CD

bigtable , Pyspark, PostgreSQL, Kafka, Avro, Cloud Storage, Terraform, Docker, Elasticsearch, Python, Spark SQL, Java, BigQuery, Google Cloud Platform, Scala, Apache Spark, Dataproc, Sql, Oop, DataFlow, Kubernetes, Airflow, Pub Sub, Cloud Composer, Parquet

PostgreSQL, Apache Airflow, Nlp, Hl7, MongoDB, Python, Etl, LangChain, FHIR, Milvus Vector DB, GraphRAG, RAG, Azure technology stack, LlamaIndex

Kafka, Streaming, Presto, Spark, Airflow, cdc, ClickHouse, batch ETL, Iceberg, Hudi, Delta, Dagster, Trino

Orchestration, Pyspark, Data Warehousing, Kafka, Data Modeling, ELT, Streaming, Python, AWS, Sdp, Apache Spark, Sql, Databricks, Etl, data integration patterns, Debezium, Lakehouse architecture, Lakeflow Connect, cloud-native data services, Schema Registry, Auto Loader, production-grade data pipelines, Unity Catalog, Spark Declarative Pipelines, Karapace, Databricks Asset Bundles, Kafka Connect, Delta Lake, CI/CD