Maven, Pyspark, Apache Spark, Sql, Apache Airflow, Jenkins, Git, Gcp, Azure, Python, AWS, Etl, Subversion

snowflake , Version Control, Kafka, Sql, Devops, Spark, Python, deployment automation, micro-batching, incremental loading, S3-based lakehouse architectures, CI/CD, Fivetran, API rate-limit handling

AWS Glue, Kafka, ELT, Encryption, RDBMS, Kinesis, Sns, Python, Api Gateway, AWS, Redshift, Sql, Data Quality, Sftp, ECS, Iam, Sqs, Aws S3, Etl, data lake architectures, distributed processing, EventBridge, file-based ingestion, S3 bucket design, pipeline optimization, EKS, partitioning

BigQuery, Api Integration, Data Modeling, Cloud Storage, Data Migration, Data Warehousing, Python, Etl, CI CD Pipelines, Cloud Functions, Cloud Dataflow, Firebase Firestore, IAM Security Management, Infrastructure as Code IaC, Cloud Monitoring, Google Cloud Platform GCP, Data Pipeline Design Development, ELT Development

Nosql, Java, Lambda, Ec2, Scala, Dynamodb, Elastic Search, Nodejs, Python, Sql, AWS

Metadata Management, Data Lineage, Power Bi, Data Warehousing, Automated Testing, Sql, ELT, Gcp, Data Governance, Data Integration, Python, Etl, Source Control, Codex, Claude, Google BigQuery, data cataloging, medallion architecture

T-sql, SQL Server, Azure Sql, Sql, ELT, Devops, Git, Azure Data Factory, Data Lake, Data Warehousing, Python, Etl

data vault , snowflake , Sql

Kafka, Redshift, Python, Sql, AWS, Airflow, dbt

Unix, Prometheus, Grafana, Apache Airflow, Neo4j, Docker, Hadoop Hdfs, Python, Spark SQL, Apache Flink, Sql, Jenkins, Hive, Linux, Apache Kafka, Spark, Kubernetes, Oracle Sql, SQL Server, Big Data Technologies, JanusGraph, GitHub Actions, Real-Time and Batch Data Processing