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Software Engineer with 2+ years in Data Analysis & Data Pipeline Development
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Assessing your cultural and operational fit
Detail-oriented Software Engineer with 2 years of experience in data analysis and data pipeline development within embedded systems environments. Skilled in Python and SQL for data extraction, preprocessing, and transformation of large datasets. Experienced in ETL development, data quality validation, and data modeling concepts. Familiar with AWS, big data technologies, and basic Spark. Strong in exploratory data analysis, Power BI reporting, KPI visualization, and deriving actionable insights to support business decision-making. Collaborative team player with interest in AI-powered data solutions and advanced analytics.
PES College of Engineering, Mandya
MCA
August 1, 2019 – June 30, 2021
Govt. College for Women, Mandya
B.Sc (PMCs)
August 1, 2016 – June 30, 2019
SmarDTV Global Technology Private Limited
Software Engineer
September 1, 2022 – May 1, 2024
Bengaluru, Karnataka, India
M7 Set-Top Box Data Processing & Performance Improvement
June 18, 2026 – Present
Processed and transformed embedded system data to support scalable pipelines and validation workflows. Performed trend and pattern analysis to detect recurring system issues. Assisted in dataset preparation for machine learning, including preprocessing and evaluation. Collaborated with teams to implement performance improvements using data insights.
X-over ABR Streaming Analysis & Optimization
June 18, 2026 – Present
Analyzed adaptive bitrate streaming performance under varying network conditions. Monitored metrics such as buffering rate, bitrate switching, and playback stability. Applied insights to improve streaming quality and reduce inefficiencies. Maintained workflow documentation to ensure repeatable analysis and data consistency.
Sun Direct Set-Top Box System Analysis & Optimization
June 18, 2026 – Present
Analyzed real-time and historical system logs to evaluate UI performance and device behavior. Transformed raw log data into structured datasets using ETL and preprocessing techniques. Identified latency bottlenecks and recurring failure patterns impacting performance. Improved data usability for analytics through data structuring and modeling.
DevOps and Cloud Computing
Intellipaat
June 1, 2026 – Present
Big Data - National Workshop
PES College of Engineering
June 1, 2026 – Present
Completed NPTEL Beginner Python Course.
NPTEL
June 1, 2026 – Present
Data Science & Intelligent Systems – State Level Workshop
Unknown
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's project experience is primarily focused on data processing and analysis within embedded systems, which shows a specialized domain expertise. While the projects demonstrate depth in data engineering and analysis, there is limited diversity in the types of systems or industries beyond set-top boxes. The target role of 'Software Engineer' is broad, and the candidate's profile leans heavily towards data engineering/analysis rather than general software development, which might require a specific team fit. The certifications indicate an interest in Big Data, DevOps, and Cloud Computing, suggesting a willingness to expand their skill set, which is a positive for cultural fit in a growth-oriented environment.
Soft Skills & Operational Fit
The candidate demonstrates strong analytical problem-solving skills with a data-driven mindset, effective communication with stakeholders, and a collaborative approach. Their experience in translating business requirements into technical solutions and data storytelling aligns well with operational needs for delivering actionable insights. The interest in scalable data systems and AI-driven analytics indicates a proactive learning attitude.