snowflake , BigQuery, cloud automation, Data Warehousing, Dimensional Modeling, Sql, Jenkins, Gcp, Terraform, Docker, Databricks, Python, Kubernetes, AWS, Airflow, Infrastructure as Code, DevOps practices, AI-enabled analytics platforms, data orchestration tools, GitHub Actions, Generative AI tools, CI CD pipelines

Azure Data Factory, Power Bi, Etl Development, SQL Server, Data Quality, Databricks, Data Warehousing, SSIS, Microsoft technology stack

data engineering , Microservices, Networking, Sql, Data Modeling, Encryption, Pyspark, Rest Apis, Python, Iam, Scala, Spark, Airflow, cloud security best practices, AWS data services, lakehouse, OLAP dimensional modeling, ETL ELT pipelines, GitHub Copilot

data engineering , containerization , Pyspark, Kafka, Networking, Data Modeling, Microservices, Encryption, Kinesis, Docker, Python, cloud security, Scala, Sql, Iam, Spark, Rest Apis, Kubernetes, lakehouse, Airflow, Hudi, AWS data services, ETL ELT pipelines, data observability solutions, OLAP dimensional modeling, AWS Certifications, Iceberg, streaming technologies, GitHub Copilot, Delta Lake

snowflake , S3, Python, Sql, Etl, AWS, Glue

graph databases , Data Modelling, Hadoop, Pyspark, Data Mining, Impala, Sql, ELT, Apache Nifi, Apache Airflow, Numpy, Devops, Azure Data Factory, Pandas, Talend, Python, Etl, Pentaho

Hive, Hadoop, Pyspark, Spark, Big Data, Data Warehousing, Python, Sql, Etl, AWS, HDFS

Databricks, Apache Spark, Pyspark, Gitlab, Automation, Data Quality, Python, Data Governance, metadata, Vector Search, CI CD Pipelines, Scalable Data Platform Architecture, AI ML Workflows, LLMOps, Vector-Space Architectures, Delta Lake, SQL Optimization, Databricks REST APIs, Spark Performance Optimization, RAG Pipelines, Distributed Data Processing

Git, Sql, Aws, dbt