- 🔭 I’m currently working on how to democratize data and derive impactful insight.
- 🌱 I’m currently learning on to build user jurney based on collected data. Also, build and testing contextual targeting platform.
- 📫 How to reach me: Linkedin
- 😄 Pronouns: He/Him
- ⚡ Fun fact: Curious to know new things and tried to help people....
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BigData Infra/Tools: Hadoop, Hbase, Spark, BigQuery, Hive, Presto, Airflow, DataBricks, DBT, Fivetran, Kubernetes
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Databases: Oracle, MYSQL, Mongo-DB, Postgres, Redis, DynamoDB Graph Databases: AWS Neptune, Neo4J
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Tools: DataBricks, Confluent Kafka, Avo(Schema Governance), Airflow, Astronomer, Datadog, Splunk, Jupyter TFS, AWS, Docker, Git, Bitbucket. Amundson, Great Expectations, Deeque, MQ, Avro, Parquet, Protobuf.
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Cloud Infra: AWS, Google Cloud
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Technology & Framework Stack: Java, SpringBoot, Hibernate, GraphQL, Python, Nodejs, JavaScript, and Design Patterns.
- Amazon Elastic Kubernetes Service (Amazon EKS)- A Kubernetes container service on a cloud
- Run PySpark programs locally in 10 minutes.