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• 🔭 I currently work as a Data Engineer. I always strive to generate meaningful insights from raw data by building big data processing pipelines that power different analytical dashboards.

In my experience of approximately 3 years, I have designed, developed and delivered high performing real time and batch data processing pipelines that process terabytes to petabytes of data on a daily basis in the cloud. These pipelines have helped the teams to drive real time analytics on user experience metrics and also provide processed data for search and recommendation services.

• 💬 The journey so far has allowed me to gain exposure and proficiency in: Programming Languages - Java, Scala and Python BigData Frameworks - Flink, Spark, Hadoop and Kafka (Core, Connect, Streams) Cloud - AWS (Amazon Web Services) - S3, EC2, EMR, Lambda, Kinesis (Streams, Firehose and KDA), SQS, SNS, Athena, Glue and Cloudwatch Databases - PostgreSQL, Elasticsearch and Druid Dashbording Tools - Kibana, Graphana, Redash and Superset APM - NewRelic CI/CD - Jenkins SCM - GitHub and GitLab

• 😄 Pronouns: He/His

• 🤟🏻 Deep Interests: Software development, cricket, badminton and football.

• 🎐 My Message: Let every fibre of your being speak for itself!