data engineering , Database technologies (Snowflake preferred), Python, Etl, Data Stage, ELT frameworks, Data pipelines, ETL development using PowerCenter, AI/ML concepts and implementations, AWS preferred or any other ETL tool

Cloud deployment, Machine Learning, Nlp, Database Management, Python, LLMOps, LLM GenAI

Pyspark, Sql, ELT, Azure Data Factory, Spark, Etl, Azure DevOps, Azure Databricks, Synapse, ADLS, Delta Lake, CI CD

release management, API security, Google Cloud Platform, Version Control, Api Development, Json, Sql, Microservices, Devops, Integration Architecture, Encryption, Vapt, Microsoft Azure, Rest Apis, Authentication, security governance, access controls, data engineering concepts, environment management, secure coding practices, CI CD practices, audit trails, data flows

, Rest Apis, Sql, Databricks, Lambda, Agile Methodologies, RDS, Pyspark, Etl, Azure DevOps, S3, ELT, Database Design, Aws Services, Data Architecture, Apache Spark, Mulesoft, Python, Cloudwatch, Data Modeling, Data Quality Validation, Data Orchestration Workflows, Data Ingestion, API Integrations, Step Functions, Aurora, Processing Large-Scale Datasets, Legacy System Migration

snowflake , Golang, PostgreSQL, Nodejs, Kafka, Grafana, Datadog, Docker, Python, Redis, Api Development, Numpy, Pandas, Presto, Spark, Databricks, MongoDB, Polars, Google BigQuery, Pub Sub, Sentry.io, PM2, Trino, Poetry, Uv, DuckDB, Clickhouse, Redis Streams

snowflake , accelerator-driven delivery, cutover execution, reconciliation strategies, Documentation, parallel runs, data platform modernization, developer tooling automation, framework-building, migration planning, dbt, Data Validation

snowflake , Databricks, Python, Data Modeling, Data Processing, Azure Data Services

Power Bi, Sql, ELT, Git, Databricks, Azure, Dax, Python, Etl, Azure DevOps, Data Lakes, CI CD, Microsoft Fabric