BigQuery, Pyspark, Data Warehousing, Data Modeling, Dataproc, Sql, Jenkins, Cloud Storage, Git, Gcp, DataFlow, Pub Sub, ETL frameworks, GitHub Actions, CI CD pipelines

Pyspark, AWS Glue, Data Modeling, Emr, Avro, Autosys, Sql, Cloudwatch, Terraform, Etl Tools, Databricks, Python, AWS, Airflow, Parquet, AWS Lake Formation, Iceberg

Power Bi, Pyspark, Agile Scrum, Tableau, Databases, Git, Data Warehousing, Informatica Powercenter, Python, Airflow, Data Lake concepts, Advanced SQL and performance tuning, IICS, dbt, CI/CD

Kms, Pyspark, Iam, Sql, Python, AWS Lake Formation

Git, Terraform, Pyspark, AWS Glue, Rest Apis, Python, AWS, AWS Step Functions, Amazon Bedrock

Aws Lambda, Git, Amazon Redshift, Amazon S3, AWS Glue, Python, Sql, AWS, AI GenAI tools, CI CD, Amazon AppFlow

Scala, Python, Spark

data engineering , Sql, Python

Scipy, AWS Athena, Apache Airflow, Devops, Data Cleansing, Pandas, Numpy, Gcp, Spark, Python, Google Datalab, Apache Druid, scikit-learn, MLlib, Google BigQuery, Imply, Zeppelin, Jupyter

Power Bi, PowerShell, SSIS, Azure Synapse, Vbscript, Ssas, Vba, Azure Data Lake, DevOps practices, Windows Server 2019 2022, Azure Data Factory ADF, CI CD pipelines, ETL ELT development, SQL Server 2019 2022