data engineering , Cloud Computing, Databricks, Data Pipelines

BigQuery, Pyspark, Dataproc, Informatica, Sql, Apache Airflow, Git, Data Governance, Talend, Python, data modeling concepts, NoSQL databases, data warehousing solutions, Google Data Engineering services, data quality standards, data security practices, DevOps Concepts in GCP

Cloud Infrastructure, Cloud Operations, Gcp, Data Migration, Azure, AWS, OCR-based Analysis Engines, LLM Integrations, Agentic Frameworks, AI Integration, Data Engineering Pipelines, Knowledge Base Management

object storage , snowflake , PostgreSQL, Scala, Pyspark, Kafka, Sql, Nosql, Stash, Jenkins, Git, Openshift, Spark, Kubernetes, AWS, Flink, Iceberg, data lakes, MinIO

pgadmin , Apis, Alteryx, Power Automate, Ms Sql Server, Eclipse, Tableau, Toad, Qlik, Postman, Power Apps, Dataverse, Business Process Mapping, Microsoft Power Platform

Cloud Storage, BigQuery, Power Bi, Python, Sql

stream processing , snowflake , Pyspark, PostgreSQL, Apache Spark, Agile Methodology, Apache Airflow, Apache Kafka, Databricks, Advanced Sql, Python, ETL Pipeline Development, Data Science and Machine Learning, Data Quality Validation, Debugging Troubleshooting