snowflake , Aws Redshift, Power Bi, Data Warehousing, Tableau, Sql, Apache Airflow, Azure Data Factory, Azure Synapse Analytics, Apache Kafka, Databricks, Apache Iceberg, pipeline development, Google BigQuery, Looker, CI/CD pipelines, dbt, Delta Lake, Azure Event Hubs, Microsoft Fabric, AWS Kinesis, cloud-native data architecture, Databricks Workflows

Data Integration, Data Governance, Databricks Unified Data Analytics Platform, Cloud-based data storage, ETL pipelines

snowflake , Performance Tuning, Data Modeling, Numpy, Query Optimization, Python, Version Control, Git, Pandas, Advanced Sql, Etl, Master-data governance, Schema modeling, Optimization, Workflow orchestration, Scikit-Learn, Cloud data warehouses, Lineage tracking, Normalization, Programming Automation, System-integration architecture, Tesseract OCR, Hadoop ecosystems, MCP design, ELT pipeline development, CI CD practices, Data Architecture Engineering, Relational Database Design

S3, Data Warehouse, Lambda, Docker, Data Lake, Kubernetes, Data Ingestion, Compute Engines, Processing and Orchestration tools, AWS PaaS platforms, AWS Cloud data-based development and migration, Amazon EKS, Cloud Components, Dms, Load balancer setup, Cloud and infrastructure components, Glue, Backup DR security and compliance, Serverless, Applications Migration to Cloud, CI CD Integration and deployment, Lake House Design Implementation, Cloud native Architecture

Aws Redshift, PostgreSQL, Storage, Data Structures And Algorithms, Python, Sql, Data ingestion, and analytics workflows, Transformation, ETL processes and tools, Data pipeline architecture

SQL — advanced across both Athena and BigQuery dialects DDL DML window functions complex transformations, GCP BigQuery — dataset management scheduled queries partitioning and clustering Standard SQL performance optimization, GA4 ? BigQuery export schema — understanding of the event model and how to work with the raw export, dbt or a comparable transformation layer — strongly preferred, AWS — S3 Lambda EventBridge Glue Athena AppFlow pipeline design deployment and troubleshooting, Infrastructure-as-code Terraform or CloudFormation — strongly preferred, Python — Lambda authoring data transformation scripting and automation, LookML — data modeling for Looker building explores dimensions measures and maintaining model integrity as underlying data evolves

pipeline management , ELT, S3, Emr, Natural Language Processing, Data Governance, Data Architecture, Lambda, Kinesis, RDS, Machine Learning, Etl, Redshift, data quality testing, IAM security frameworks, AWS data services, Glue