About
Data Engineer with expertise in data migration using Microsoft Fabric tools and enhancing data processing efficiency. Proficient in Python, SQL, and various data engineering tools. Demonstrated success in improving efficiency and accuracy across multiple projects, with a strong focus on leveraging advanced data pipelines and engineering solutions to deliver impactful results.
Data Engineer & Cyber Security Enthusiast.
- Website: www.rutiksangle.me
- Phone: +1 669 264 3166
- City: San Jose, CA, USA
- Degree: Masters of Science - Computer Engineering
- Email: rutiksangle3436@gmail.com
- Freelance: Available
Skills
Proficient in Python, SQL, data migration with Microsoft Fabric, data engineering tools, and enhancing security operations within SIEM frameworks.
Programming Languages: Python, SQL, C, C++, Perl, Java, R, JavaScript, HTML, CSS
AI & Data Engineering: Microsoft Fabric, Azure Data Factory, Azure Data Pipelines, Synapse Data Flow, NumPy, Keras, GeoPandas, Pytorch, Scikit-learn, Pandas, Matplotlib, Tensorflow, PySpark
Cyber Security: Azure Sentinel, Vulnerability Assessment, Penetration Testing, Threat Assessment, Security Information and Event Management(SIEM), Incident Response
Tools & Technologies: MS SQL Management StudioReact.js, Django, Angular, Node.js, Express.js, Flask, Bootstrap, MongoDB, Jupyter, RESTful APIs, Asana
Resume
Sumary
Rutik Sangle
Data Engineer with expertise in data migration using Microsoft Fabric tools and enhancing data processing efficiency. Proficient in Python, SQL, and various data engineering tools. Demonstrated success in improving efficiency and accuracy across multiple projects, with a strong focus on leveraging advanced data pipelines and engineering solutions to deliver impactful results.
- San Jose, CA
- +1 (669) 264-3166
- rutiksangle3436@gmail.com
Education
Master of Science - Computer Engineering
Jan 2022 - May 2024
San Jose State University, San Jose, CA
CGPA : 3.5 / 4.0
Relevant Coursework: Computer Architecture, Data Mining, Machine Learning, System Softwares
Bachelor of Engineering - Computer Engineering
August 2018 - May 2021
D Y Patil College of Engineering Pune, Maharashtra, India
CGPA : 3.6/4.0
Relevant Coursework: Data Structures, Database Management Systems, Java Programming
Professional Experience
Data Engineer
Aug 2024 - Present
Vagaro Inc, Pleasanton, CA
- Leading the migration of data from SQL Data Warehouse to the new Microsoft Fabric Warehouse, ensuring a seamless transition with 0% data loss by implementing advanced data validation and consistency checks. Taking full ownership of the migration process, from planning to execution and post-migration support.
- Directing the export of large datasets from Amplitude to Microsoft Fabric Data Lake, utilizing Microsoft Fabric tools such as Data Pipelines and Data Flow to optimize data flow and storage efficiency. Overseeing the entire export process to ensure data integrity and performance.
- Driving the enhancement of data processing efficiency by 30% through the innovative use of Microsoft Synapse Data Engineering tools. Implementing optimized ETL processes and real-time data integration techniques to streamline data operations and improve system performance.
- Working with a cross-functional team of 5 engineers to refine and accelerate project workflows, contributing to a 25% increase in overall project delivery speed. Providing mentorship and guidance to team members to foster professional growth and development.
- Ensuring data security and compliance by integrating robust data governance practices and performing regular audits and risk assessments. Taking proactive measures to safeguard sensitive information and mitigate potential risks.
- Streamlining data operations by automating routine tasks using Python scripts and Azure Logic Apps, reducing manual effort and minimizing errors. Demonstrating leadership in process improvement initiatives to enhance operational efficiency and effectiveness.
Data Engineer Intern
Jun 2024 - Jul 2024
Vagaro Inc, Pleasanton, CA
- Migrating data from SQL Data Warehouse to the new Microsoft Fabric Warehouse, ensuring a seamless transition with 0% data loss.
- Exporting data from Amplitude to Microsoft Fabric Data Lake, utilizing Microsoft Fabric tools such as Data Pipelines and Data Flow.
- Improve data processing efficiency by 30% through the effective use of new Microsoft Synapse Data Engineering tools.
- Collaborating with a team of 5 engineers, contributing to a 25% increase in overall project delivery speed.
Cyber Security Intern
Jun 2023 - May 2024
Vagaro Inc, Pleasanton, CA
- Enhanced fraud detection efficiency by 20% by utilizing SQL and Azure Logic Apps to extract transaction data and develop queries that streamlined alert generation and improved the fraud analysis team's response capabilities.
- Managing projects as an intern to enhance security operations within the SIEM framework, focusing specifically on Azure Sentinel
- Maintaining a notable 30% decrease in incident response time by skillfully crafting logic apps, following in-depth research and analysis of a wide array of Azure and Defender 365 logs
- Administering a threat-hunting project with Azure Sentinel, cutting down potential threats by 25% through proactive identification and defense enhancements
- Spearheading the development of impactful dashboards and playbooks, fortifying the organization's cyber resilience and bolstering its security posture, all powered by Azure Sentinel
Instructional Student Assistant
Aug 2022 - May 2023
San Jose State University, San Jose, CA
- Instructional Student Assistant for CMPE 120 - Computer Architecture.
- Collaborated with the professor in facilitating daily class activities, resulting in a 100% completion rate of all scheduled tasks.
- Assisted in grading assignments, and exams, ensuring timely and accurate feedback to students and achieving a 95% accuracy rate.
- Utilized strong communication skills to build rapport with students and improve their overall learning experience.
Projects
Completed the following projects at various academic level which shows the use of best software engineering principles and coding knowledge.
Sentiment Analysis and Rating Prediction
Conducted a comparative study of various sentiment analysis algorithms including Logistic Regression, KNN, Naive Bayes, SVM, Random Forest, CNN, and LSTM on movie reviews. Evaluated the algorithms using metrics such as RMSE, precision, recall, F1-score, and training time. Achieved an accuracy of 88% with LSTM, outperforming all other algorithms by a margin of 4%.
COVID-19 Wave Prediction
Implemented LSTM, ARIMA, and XGBoost algorithms to predict COVID-19 cases and detect sudden spikes or waves in the WHO COVID dataset. Achieved an accuracy of 92% with XGBoost, outperforming LSTM and ARIMA by 6% and 8% respectively.
Celestial Learning
Collaborated with 3 classmates to create a MERN-based web application allowing authors to publish courses securely without having to worry about data leaks. Reduced data leaks of course videos by 60% and helped authors in earning more revenue. Technologies Used: MongoDB, Express.js, React.js, Node.js
Traffic Rules Violation Detection System
Led a team of 4 to create an application to automatically detect bike riders without helmets and issue fines. Reduced manual work of traffic police by 40% by issuing fines over SMS. Technologies Used: TensorFlow, Python, Tkinter. The project was awarded 3rd prize out of 20 participants in Neuron Hackathon at DYPCOE Akurdi.
Drone Routing and Planning
A python-based project to create an optimal path for drone routing for various applications like defense, agriculture, logistics, etc. Technologies Used: Python, Tkinter
Restaurant Ordering System
A python-based application using client server architecture to automate the task of placing orders and manage billings in restaurant. Technologies Used: Python, Tkinter