Hive, Scala, Spark, Kafka, Python, Sql, DevOps practices

data engineering , Data Quality, Python, Sql, Etl, ELT, Statistical Analysis, business intelligence platforms

Power Bi, Splunk, Sql, Etl, Elastic, AI ML concepts, LLM integration, Azure OpenAI

Spotfire, Azure ML, Docker, Tableau, Databricks, Sql, Kubernetes, SageMaker, MLflow

Hadoop, Power Bi, Tableau, Sql, Influxdb, MySQL, Vba, Qlik, Spark, Apache Hive, Hue, Oracle, Python, Murex, Teradata, IBM DB

Java, Data Mining, Tableau, Automation, UNIX, Sql, Agile Development, Linux, Python, AI Solutions, data integrity, Statistical Methods, Data Analysis

amazon emr , Aws Lambda, Amazon Kinesis, AWS Glue, Apache Spark, Git, Linux, Docker, Terraform, Data Governance, Apache Iceberg, Amazon QuickSight, AWS Step Functions, AWS Lake Formation, AWS DataZone, AWS Data Services, DataOps, dbt, Business Intelligence

snowflake , Pyspark, Sql, Pandas, Databricks, Python, AWS, Glue Catalog, Agentic AI architecture, Data Catalog, Unity Catalog, ETL frameworks, RAG AI data pipelines, MCP API-based data access patterns, Data Mesh, Spark-based systems, Metadata platforms

Regression Testing, Unit Testing, automation, Python, Scripting, Data Analytics, Apis, Power Bi, software testing, Sql, Integration Testing, AI-assisted automation, retrieval-augmented generation systems, Tool Development, Dash, LLM-based workflows, validation practices, Streamlit, AI tools, Data Processing, Plotly, white-box testing, prompt engineering, AI agents, digital electronics fundamentals