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Data Engineer with 2+ years in ETL, Cloud, Python, and SQL.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Results-driven Information Science Engineer with hands-on experience in technical support, backend development, ETL pipeline engineering, and cloud-native application support. Proven ability to troubleshoot, debug, and resolve complex technical issues across multiple platforms and programming environments. Proficient in Python and SQL with solid understanding of OOP, RESTful API design, and SDLC. Experienced with Docker, Kubernetes, Git, and cloud infrastructure. Strong communicator with a track record of delivering end-user technical assistance and cross-functional collaboration in fast-paced IT environments.
Don Bosco Institute of Technology
Bachelor of Engineering (B.E.) · Information Science
August 1, 2019 – June 30, 2023
Siddartha PU College
PUC · Computer Science
June 1, 2017 – May 31, 2019
Shri Durga Parameshwari High School
SSLC
June 1, 2016 – May 31, 2017
RNS Institute of Technology
Technical Support Engineer
December 1, 2024 – Present
Bengaluru, Karnataka, India
Tibil Solutions
Technical Intern (Data Engineering)
April 1, 2024 – October 1, 2024
Bengaluru, Karnataka, India
Multiclass Pathology Classification in Voice Signal Using Deep Learning
January 1, 2023 – May 1, 2023
• Developed a Deep Neural Network model combining CNN, Pooling, LSTM, and Fully Connected layers to detect voice pathology disorders from audio signal data. • Built a cost-effective diagnostic tool for remote areas lacking advanced medical facilities, enabling early detection of vocal health issues. • Implemented the model using ML frameworks and signal processing techniques, ensuring accuracy and efficiency in voice-based health screening.
Completed training in Python, SQL, Web Technologies, Django, and REST API.
Pentagon Space, Bangalore
July 1, 2023 – Present
Cultural Fit Analysis
The candidate's background includes both academic projects and professional experience in technical support and data engineering. The internship at Tibil Solutions aligns well with the target role, demonstrating practical application of data engineering principles. The academic project shows initiative in applying deep learning. The current role as a Technical Support Engineer, while not directly data engineering, indicates a service-oriented mindset and adaptability across technical environments. The breadth of skills listed (Python, SQL, DevOps tools, cloud fundamentals) suggests a willingness to learn and adapt, contributing positively to cultural fit within a dynamic technical team.
Soft Skills & Operational Fit
The candidate's experience as a Technical Support Engineer highlights strong communication skills, root cause analysis, and the ability to explain complex technical concepts to non-technical users. These are valuable for collaborating with diverse teams and stakeholders in a data engineering role. The resume also lists problem-solving, team collaboration, and time management as soft skills, which are crucial for operational efficiency and project delivery.