5+ years of experience architecting/operating solutions built on Google Cloud Platform.5+ years of design implementation experience with distributed applications.Strong skills in Optimization - performance, pipeline, spark. Technologies: Python, Google Cloud Platform (GCP), MySQL, BigQuery, Google BigQuery, Metabase, Data Warehousing, CI/CD Pipelines, GitHub, Data Migration.advanced skills in SQL, data modeling, ETL/ELT development, and data warehousing.Participated in deep architectural discussions to build confidence and ensure customer, success when building new, or migrating existing, applications, software, and services on the Google Cloud Platform.End to end hands-on to carry out complex POC, Pilot, Limited production rollout, assignments requiring the development of new or improved techniques and procedures.query tuning and optimization) and data migration and integration.Implementation and tuning experience in the Big Data Ecosystem, (such as Data Analytics (Dataproc, Airflow, Hadoop, Spark, Hive), Google Cloud Platform AI and ML Services and Data Warehousing (such as BigQuery, schema design, A managed instance group (MIG) creates each of its managed instances based on the configuration components that you use: instance template, optional all-instances configuration, and optional stateful configuration.Strong experience in data pipelines, ETL design (both implementation and maintenance), data warehousing, and data modeling (preferably in dbt).
Worked in an agile environment and are comfortable running an agile process for the data and analytics team.Worked collaboratively with cross-functional teams and stakeholders to achieve an organizational goal.
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