Arpitha Halebeedu Manjappa
Louisville,KY
Summary
Results-driven Data Engineer known for high productivity and efficient task completion. Skilled in big data processing frameworks like Hadoop and Apache Spark, database management using SQL, and data visualization with tools such as Tableau. Excel in problem-solving, collaboration, and adaptability to leverage technical skills in developing innovative data solutions across diverse environments.
Overview
3
3
years of professional experience
1
1
Certification
Work History
Data Engineer
Insightogram
03.2022 - Current
- Developed and implemented distributed search solutions, improving text parsing and tokenization processes to increase search efficiency.
- Designed and maintained data streaming architectures, managing producer and consumer interactions, and ensuring high availability through effective replication and partitioning strategies.
- Collaborated with cross-functional teams to troubleshoot and resolve BI issues, optimizing ETL processes, and enhancing data migration techniques.
- Utilized cloud services (AWS, Azure) to deploy and manage scalable data solutions.
- Conducted in-depth analysis and optimization of database vs. search service interactions, improving query response times and data retrieval accuracy.
- Developed scripts in Python and Shell to automate data ingestion and transformation processes, reducing manual intervention.
- Assisted in the design and implementation of fault-tolerant systems, enhancing data integrity and reliability across distributed environments.
Education
Master of Science - Big Data
University of Stirling
Stirling, Scotland09-2020
Bachelor of Science - Computer And Information Sciences
Malnad College of Engineering
Hassan, Karnataka05-2017
Skills
- Distributed Search & Data Processing: Text parsing analysis, Data Visualization, tokenization, fault tolerance, data skew
- Data Streaming Concepts: Producers, consumers, brokers, distributed architecture, replicas, partitions
- Cloud Computing: Proficient with AWS, Azure, Google Cloud
- Programming Languages: UNIX Shell, Python, R, Ruby, Java, NET (C#), JavaScript
- Business Intelligence: ETL processes, BI tools, performance optimization, troubleshooting
- Database Technologies: SQL, MongoDB, Snowflake
- Machine Learning: Algorithms, Model Development
- Big Data Technologies: Hadoop, Spark
Certification
- M001: MongoDB Basics
- Microsoft Azure (AZ- 204)
- Oracle Database 11g: Program with PL/SQL
Timeline
Data Engineer
Insightogram
03.2022 - Current
Master of Science - Big Data
University of Stirling
Bachelor of Science - Computer And Information Sciences
Malnad College of Engineering
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