Summary
Overview
Work History
Education
Skills
Timeline
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Kasun Withanage

Upper Chichester,PA

Summary

Proven Technical Expertise in a Career Span of 6 Years, looking for a challenging position as a Big data Engineer in a competitive organization that would help me to fulfill my aspirations and the Organization’s as well.

Overview

5
5
years of professional experience

Work History

Big Data Engineer

United Health Group, USA
Philadelphia, PA
03.2021 - Current
  • Analyzed large datasets to identify patterns and trends in data.
  • Developed automated processes for collecting, organizing, and analyzing big data.
  • Created and maintained Hadoop clusters with multiple nodes.
  • Built data pipelines using Apache Spark to process large amounts of structured and unstructured data.
  • Implemented real-time streaming applications using Kafka Streams or Spark Streaming.
  • Designed and developed NoSQL databases such as Cassandra, MongoDB, and HBase for storing big data.
  • Developed ETL jobs to extract, transform, and load data from various sources into the target system.
  • Maintained security protocols around sensitive information stored in the Big Data environment.
  • Provided technical support to business users on using Big Data tools for their analytical needs.
  • Collaborated with other members of the team to design efficient solutions for managing Big Data workloads.
  • Conducted research on emerging technologies related to Big Data processing, storage, and analytics.
  • Performed end-to-end testing of all components in the Big Data architecture.
  • Integrated existing systems with new platforms such as AWS S3 or Azure Blob Storage.
  • Cleaned and manipulated raw data.

Big Data Developer

Fidelity Investments
Philadelphia, PA
10.2018 - 02.2021
  • Performed exploratory data analysis using Python libraries such as Pandas and Scikit-learn.
  • Built real-time streaming architectures utilizing Apache Storm or Apache Spark Streaming.
  • Provided technical guidance to junior team members on best practices of designing efficient ETL pipelines.
  • Utilized visualizations tools like Tableau to communicate insights effectively within an organization.
  • Used statistical software to analyze and process large data sets.
  • Developed new functions and applications to conduct analyses.

Education

Bachelor of Science - Computer Science And Mathematics

University of Ruhuna
Sri Lanka
12-2010

Skills

  • Programming & Scripting Languages: Python (Kera’s, Sci-kit learn, TensorFlow), SQL, SAS, R, java script, Bash
    Scripting
  • Statistics / Machine Learning Methods: Hypothesis Testing, Regression Analysis, SVM, ANOVA, Naive Bayes
  • Visualization Tools: Tableau, Microsoft Power BI, Matplotlib, Microsoft Excel (Pivot table,VBA/Macros), Adobe Analytics, Stata, Google Analytics, SAP Bex Web
  • Machine Learning Libraries: TensorFlow, Kera’s, PyTorch, NumPy, OpenCV, Scikit-Learn, SciPy, Pandas
  • Big Data: Hadoop, Apache Spark, Hive, MapReduce, Flume, Azure ADF
  • Database/ Cloud Platforms: MySQL, Microsoft SQL Server, MongoDB, Amazon Web Services, Azure Synapse
    Analytics

Timeline

Big Data Engineer

United Health Group, USA
03.2021 - Current

Big Data Developer

Fidelity Investments
10.2018 - 02.2021

Bachelor of Science - Computer Science And Mathematics

University of Ruhuna

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Kasun Withanage