Globally Certified GCP Data Engineer | Serving Notice Period | Last Working Day 5 May | Expertise in GCS | GCP Dataproc | GCP BigQuery | GCP DataFlow | Cloud Pub/Sub | Cloud Composer(Airflow) | Expertise in PySpark, SQL …
Globally Certified GCP Data Engineer | Serving Notice Period | Last Working Day 5 May | Expertise in GCS | GCP Dataproc | GCP BigQuery | GCP DataFlow | Cloud Pub/Sub | Cloud Composer(Airflow) | Expertise in PySpark, SQL and Python | Immediate Joiner.
Built and optimized data pipelines using GCP services like BigQuery, Dataflow, Dataproc, and Pub/Sub to process largescale data efficiently.
Developed and maintained ETL workflows, integrating diverse data sources into data lakes and warehouses using Snowflake, Cloud Storage, and BigQuery.
Collaborated with cross-functional teams to design scalable and cost effective data solutions, enabling data-driven decision-making.
Built and optimized data pipelines using GCP services like BigQuery, Dataflow, Dataproc, and Pub/Sub to process largescale
data efficiently.
Developed and maintained ETL workflows, integrating diverse data sources into data lakes and warehouses using Snowflake,
Cloud Storage, and BigQuery.
Collaborated with cross-functional teams to design scalable and cost effective data solutions, enabling data-driven decision
making.
Assisted in building scalable data pipelines using Apache Spark and Google Cloud Dataproc to process large datasets efficiently.
Collaborated with senior engineers to implement data validation and quality checks using PySpark and SQL.
Participated in code reviews and agile ceremonies, gaining experience in collaborative development and continuous delivery.
Assisted in building scalable data pipelines using Apache Spark and Google Cloud Dataproc to process large datasets efficiently.
Collaborated with senior engineers to implement data validation and quality checks using PySpark and SQL..
Participated in code reviews and agile ceremonies, gaining experience in collaborative development and continuous delivery.
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