Dashboards, Mq, Kafka, metrics, Docker, Terraform, Ansible, ECS, Azure, Logging, AWS, Alerting, Incident Troubleshooting, Observability Engineering, OpenTelemetry, Infrastructure Engineering, tracing, Platform Engineering

Data Modelling, Pyspark, Data Warehousing, Azure Databricks, Azure Sql, Sql, ELT, Git, Azure Data Factory, Azure Data Lake, Python, Azure DevOps, Etl, data pipelines, lakehouse architecture, CI CD deployment practices, Microsoft Fabric, Azure data services

AWS, Power Bi, Databricks, Sql, Java, Python, Git, Scala, Tableau

data wrangling , Hadoop, Power Bi, Big Data Technologies, Informatica, Sql, Hive, Docker, Spark, Data Visualization, Dbms, Talend, Kubernetes, Python, DevSecOps Methodology, DI ETL technology, MS Access, Microservices Architecture, Podman

Aws Lambda, Data Cleaning, Database Programming, AWS Glue, Gcc, Sql, Google Cloud, Cloud Technologies, Linux, Sqlite, MySQL, Apache Kafka, Microsoft Azure, MongoDB, Python, AWS, Container Operations, pipeline development, Ensuring Data Accuracy, gpc

Aws Services, MLops, Terraform, Apache Kafka, Apache Spark, Python, Sql, Airflow, Data Lakehouse, DataOps, Cloud Native Services

S3, Oracle Sql, Data Architecture, ELT, Ec2, Kinesis, Python, Java, Aws Services, Emr, Redshift, Sql, Devops, Hive, Spark, Plsql, Kubernetes, Etl, Modeling, Airflow, Warehousing, R, machine learning deployment, microservices deployment, data crawling, streaming solutions, CI CD pipelines, warehouse construction, lake formation, Athena, container orchestration, Oracle database architecture

workflow management , Data Modelling, Pyspark, Apache Spark, Data Warehousing, Automated Testing, Google Cloud, Sql, Azure, Python, AWS, data quality practices, copilots, Monitoring, modern data architecture, AI-enabled data engineering practices, AI agents, data orchestration, Validation, observability