Welcome to my corner of the web! π
With 3.5+ years of industry experience in cloud infrastructure and data engineering, I bring a solid foundation in building and optimizing data pipelines, managing large datasets, and implementing scalable solutions using Big data tech stack and technologies like Python, Spark, AWS, PySpark and SQL etc. I'm passionate about the Data Science and Engineering field and their applications in generating valuable insights from messy and large datasets. Imagine a puzzle β I love piecing together information from chaotic datasets to reveal the big picture and unlock valuable insights!
- π I enjoy analysing the data to uncover hidden insights and generate valuable information form it by making use of different EDA and Data - Processing principles
- π Constantly learning and upskilling
Kafka, Airflow, AWS S3, Apache Spark, Scala, Autosys, CyberArk, Sqoop, Hive, HDFS, Confluence, WebLogic, Big Data, Python, Linux, MySQL, Shell Scripting, IBM Connect Direct (NDM), ServiceNow, R Programming, Data Mining, SQL, Apache Iceberg, Presto, Deeque, Docker, ArgoCD, AWS, Intellij, Git, Bitbucket, JIRA, Maven, PySpark
- AWS Certified Cloud Practitioner
- Spark Framework- Infosys
- Oracle Cloud Infrastructure foundations 2021 Certified Associate- Oracle
- Big Data 101- Infosys
- Infosys Certified Python Associate- Infosys
- Apache Kafka Tutorials- Infosys Springboard
- π Advanced Predictive Modelling in Healthcare Data Analytics for Early Disease Detection and Proactive Medical Intervention
- π Music Streaming Application Data ETL Pipeline using Python and AWS
- π¨ E-commerce Data Extraction with Python
- π Loan Approval Predictor
π« Feel free to reach out