About Me
With over 10 years of hands on experience in data engineering, particularly in building high performance, automated data pipelines, I have developed end to end data pipelines that managed large scale data flows, consistently ensuring data integrity and optimizing for performance.
Leveraging tools such as Azure Data Service Data Factory, Azure Databricks, ADLS, Blob Storage, Synapse, Event Hub, Stream Analytics, AWS Data Service S3, EC2, EMR, Lambda, Glue, Step Function, Kinesis, Redshift, GCP Data Services GCS, Dataproc, BigQuery, Cloud Function, Cloud SQL, Cloud Composer, Hadoop ecosystem tools Sqoop, Pig, Hive, Oozie, Flume, Pyspark, Airflow I built workflows that not only minimized latency but also reduced costs by optimizing resource allocation and data processing workflows. Using Devops implementation, all those pipelines were automated in testing and deployment using tools like Github, Jenkins, Docker and Kubernetes.
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