data engineering , Spark, Databricks, Emr, Airflow, AWS data services, Micro-services architecture, Streaming pipelines, Athena

Python development, Databricks, AI Agents, vector databases, Generative AI Prompt Engineering, Knowledge Management platforms, AI-assisted automation workflows, Unity Catalog, Data Lake architectures, semantic search, Azure Data Platform, Delta Lake, Azure AI services, Databricks Workflows, RAG architectures

Spark, Azure Databricks, Python, Azure Power BI, Azure Power Apps

Git, Spark, Automation, Sql, API-based ingestion, Data quality reconciliation, Infrastructure-as-code, Observability

Aws Cli, Apache Kafka, Pyspark, Delta Lake on Databricks, Databricks Workflows

data engineering , snowflake , Cassandra, Big Data, Dataproc, Redshift, Sql, Git, Docker, Terraform, Postgres, Spark, MongoDB, DataFlow, Data Warehouse, Kubernetes, Python, Azure DevOps, Aws S3, Airflow, Data Lakes, Google BigQuery, GCS

orientdb , Kibana, Freemarker, Unix, MySQL, Elasticsearch, Java Jee, Python, Curl, Logstash, H2, Elk Stack, Bash Shell Scripting, Jms, Linux, Perl, Apache Cassandra, Apache Kafka, Log4j, Glassfish, Rest Apis, SOAP-based web services, Java Enterprise Technologies, OpenMQ

Data Transformation, Pyspark, Sql, Git, Pandas, Docker, FastAPI, Python, LangChain, vector databases, Azure AI Agent Service, embedding-based retrieval, LangGraph, multi-agent workflows, agentic AI systems, LLM-powered applications

Spark SQL, Distributed Computing, Pyspark, Data Warehousing, Apache Spark, Databricks, Sql, ELT, Etl, Delta Lake, Lakehouse architecture