Kafka, Data Governance, Kinesis, Terraform, Docker, Python, AWS, Data Modelling, Sql, Git, Gcp, Spark, Databricks, Azure, Data Warehouse, Kubernetes, Airflow, Flink, Data quality practices, Infrastructure-as-code, CI CD, Pub Sub, Lakehouse architecture, Analytics enablement, Business intelligence, dbt

Aws Lambda, AWS Glue, Data Warehousing, AWS Athena, Databricks, Sql, data lakes, AWS Step Functions, AWS EMR, Amazon QuickSight, distributed processing

Azure Databricks, Python, CI CD GitHub, LLMs Prompt Engineering, AI Agents AI Application Development, Databricks Apps, Medallion Architecture, Azure SQL Database, Azure AI Foundry, Azure Data Factory ADF

Hadoop, Emr, Data Modeling, Informatica, Bodi, SSIS, Sql, Hive, Odi, Datastage, Spark, Python, KornShell, ETL pipelines

snowflake , Java, Pytest, Rust, Pyspark, PostgreSQL, Scala, Apache Spark, Git, Terraform, Databricks, Python, AWS, Go, Aurora

Hadoop, Spark, Kafka, Sql, Python

Query Optimization, Oracle Sql, Pyspark, Data Cleansing, Mapreduce, Apache Airflow, Hadoop Ecosystem, Oozie, Python, Apache Spark, Sql, Jenkins, Git, Hive, Pandas, Data Warehousing, Etl Development, CI CD Pipelines, Feature Engineering, Data Linking, Jupyter Notebook, Data Mart Development, Data Validation and Quality Checks, Data Pipeline Development, NoSQL Databases, Data Analysis, Data Imputation Techniques

reporting & alalytics, operational support , Api Development, Data Pipeline, Aws, Azure, FastAPI, Sql, Data Modeling, Docker, Kubernets, Linux, Data Quality, "AI Assisted Development", Trouble Shooting

Linux Administration, Github, Cloudformation, Apache Spark, Shell Scripting, Apache Airflow, Jenkins, Terraform, Docker, Ansible, Gitlab, Kubernetes, FinOps Principles, AWS Cloud Infrastructure, EKS, AWS Well-Architected Framework, Observability Tools, cost optimisation