Cloud-Native Software Engineer - Kubernetes/ETL

Sara Ismail Tily Page *

Sara Ismail Tily

********@*****.*** 415-***-**** GitHub: saratily (Sara Tily) LinkedIn: linkedin.com/in/sara-tily-9756635/ Website: sites.google.com/site/saratilyprofile/welcome-to-my-homepage CAREER OBJECTIVE

As a passionate problem solver and innovative thinker, I collaborate with business leaders to architect and optimize scalable, cloud-native systems. By harnessing the power of Kubernetes, Helm, and Docker—paired with cutting-edge automation and monitoring tools—I strive to boost reliability, accelerate performance, and inspire continuous innovation across evolving digital landscapes. TECHNICAL EXPERTISE

Programming & Scripting Golang, Python, C/C++, PHP, Java, Bash, PowerShell Cloud & DevOps Docker, Kubernetes, Helm Charts, Jenkins, AWS, MS Azure, CI/CD, Grafana Data Engineering ETL Pipelines, Kafka, Elasticsearch, PostgreSQL, MySQL, Pandas, NumPy Cybersecurity & Networking Penetration Testing, OSI Model, SIEMs (Splunk), Shodan, Wireshark AI & Machine Learning Neural Networks, TensorFlow, Generative AI, Data Modeling Tools & Platforms Jupyter, Google Colab, Autopsy (Digital Forensics), Git, Linux, REST APIs EDUCATION

• University of California, Berkeley — Cybersecurity Bootcamp (2023)

• MIT Professional Education — Data Science Bootcamp (2023)

• San Francisco State University — M.S. in Computer Science (GPA: 3.64/4.0)

• Institute of Business Administration, Pakistan — M.B.A. in Computer Science (GPA: 3.33/4.0)

• Institute of Business Administration, Pakistan — B.S. in Computer Science (GPA: 3.33/4.0) WORK EXPERIENCE

Infoblox (via Akraya, Inc.) — Software Engineer May 2025 – Nov 2025

• Enabled improved inventory analysis by allowing users to filter assets using native (source-specific) asset types, addressing field team preferences.

• Improved the Error Details page by redesigning error messages to be more user-friendly and actionable for end-users.

• Designed and implemented scalable ETL pipelines to extract, transform, and load large datasets efficiently between distributed systems. Ensured data integrity, consistency, and performance during migration through validation scripts and benchmarking. Technologies: Golang, Docker, Kubernetes, Helm-chart, Grafana, Jenkins, Elastic Search, Kafka, AWS Tesla (via KForce) — Golang Developer Dec 2023 – Apr 2024

• Refactored existing RESTful API calls to gRPC for better performance and maintainability.

• Developed Golang scripts for internal system data extraction.

• Contributed to the system design of Golang microservices, leading to an in-depth knowledge of the product.

• Worked in a docker based local environment for development.

• Performed code reviews on backend pull requests as needed, to keep a consistent workflow, while providing full coverage of unit tests.

• Debugged backend (Golang) and frontend (React, TypeScript) issues.

• Wrote and debugged ansible scripts to deploy code across different tiers in a distributed environment. Technologies: Golang, TypeScript, React, gRPC, MySQL, Docker, Kubernetes, AWS Dynata — Software Developer Mar 2020 – Jan 2023

• Contributed to the system design of Golang microservices, leading to an in-depth knowledge of the product.

• Worked in a docker based local environment for development.

• Worked on automated solutions to provide a product for easier experience in data sampling through prepackaged methodology. Created protobuf objects and services in Golang in a microservice environment.

• Maintained public API platform for data sampling. Changes to the API included removing and adding new fields in JSON. Add new endpoints for internal usage between microservices., with 100% unit test coverage. Sara Ismail Tily Page 2

• Performed code reviews on backend pull requests as needed, to keep a consistent workflow, while providing full coverage of unit tests to make sure there are no breaking changes.

• Implement a minor feature on the front-end using ReactJS and Typescript. Technology used: Golang, Typescript, React, gRPC + web gRPC, MySQL, Document storage Business Wire — Senior Software Developer Apr 2013 – Mar 2020

• Work extensively on messaging and notification Drupal modules, along with the custom solution to integrate the 3rd party to send emails from the client sites (Drupal 6 & 8).

• Implemented and maintained the 3rd party API’s to display stock price in the client site and also utilize these API’s to generate financial alerts

(Drupal 6 & 8).

• Coordinated clients to configure SPF, DKIM and DMARC, so the emails received by users were not treated as spammed.

• Implemented automation selenium web-driver/Java TestNG code, which runs across 250 client sites. These scripts were multi-threaded, so a 2 hour job was done in 20 minutes. Also implemented the same scripts in selenium grid, with 5 slaves.

• Load and performance testing using Jmeter scripts with multiple thread groups. Used a simple data writer in order to optimize resource utilization.

• Wrote scripts in Phing, a build tool based on Apache Ant, to provide an automation layer for continuous integration (CI), by testing, building and launching Drupal 8 sites.

• Implemented Docker based local environment for Drupal 8 development.

• Optimized db operations and queries to enhance application performance.

• Performing code reviews to verify that the code did not have cross-site scripting (XSS) or mysql injection vulnerabilities. while providing full coverage of unit tests to make sure there are no breaking changes.

• Analyzed splunk logs to monitor and analyze traffic on different tiers to identify abnormal traffic patterns. Technology used: Python, PHP, Java, Javascript, Apache Ant, Phing, MySQL, Jmeter, TestNG, Selenium, Automated testing, XSS, SQL injection, Splunk

Quantum Capital Fund — Software Developer Jul 2012 – Mar 2013

• Implemented dashboard for all the apps developed by the company to display live data from MySQL. The dashboard will be updated every minute.

• Wrote monitoring scripts in bash to monitor all the servers and apps using bash script and selenium library in Java.

• Implemented prototype of social networking application using Joomla framework in PHP using PHPcassa library to interact with Cassandra database.

• Designed Cassandra database schema for emotional rating system and implemented web services Restful APIs for the same using Astyanax

[Netflix library] in Java. I had also designed custom MVC framework for this application. Technology used: PHP, Java, PHPCassa, Cassandra, MySQL, Astyanax [Netflix library] Google, Inc. — System Administrator / Tool Developer - Contractor Apr 2011 – Apr 2012

• Tools Development & Support for the Localization and Editorial Departments at Google.

• Convert existing PHP scripts into Python.

• Numerous bug fixes for previously existing automations and restored broken and optimized processes related to Language Quality Evaluation

(LQE) and Arbitration; and automated them in Python.

• Automated end of month activities related to LQE and automated fetching of Review Reduction audits from WorldServer into local databases using Java.

• Standardized translation vendors and review vendors reports related to Language Quality Evaluation (LQE) with more accurate data using Python. Technology used: PHP, Python, Java, MySQL

Construct Zero, Inc. — Web Developer Feb 2011 – Apr 2011

• Reverse-engineered existing web-based application, having LAMP (Linux, Apache, MySQL, PHP) architecture, developed using Ajax heavily.

• Created application programming interfaces (API's) to support the application. Technology used: PHP, Ajax, MySQL

Ripple, Inc. — Backend Engineer Jul 2009 – May 2010

• Created application programming interfaces (API's) in PHP and MySQL for Ripple, Inc., a social networking application, using ZEND (MVC) framework.

• Fixing unit test, help in QA, using Trac & Pivotal tracker for bugs & documentation.

• Collaborated with a geographically distributed development team in a fast-paced, start-up environment. Use of SVN, Trac, Wiki, and other tools was required.

Sara Ismail Tily Page 3

Technology used: PHP, MySQL

PERSONAL PROJECTS

Sep 2023 — Web portal for Penetration testing tools — saratily/cpa-pen-testing-tool (github.com) I created a web portal for penetration testing, using golang and reactJS, backed by postgres database. I integrated some command line tools, such as ping, whois, dig, nslookup, shodan, nmap, and nikto, and some web enumeration tools, such as drib, wfuzz, wappalyzer and fuff. This web app provides a one stop shop to perform reconnaissance and scanning on a given domain. Mar–Aug 2023 — Explore different aspects of cybersecurity — ssaratily/cyber-security (github.com) During my cybersecurity course at UC, Berkeley, I gained expertise in both offensive and defensive cybersecurity. I also participated in solving CTF quiz, which provides scenarios like real world. Created and deployed a site on AWS environment. Also implemented firewall rules to filter the incoming traffic. Explored several open source tools, such as shodan, recon-ng, metasploit and many more for penetration testing. I used Splunk to analyze logs gathered from different platforms such as Linux, Windows, etc.. I also explored the Autopsy tool to perform digital forensics on data fetched from an iphone. Jun 2023 — Hackathon: Shinkansen Travel Experience — data-sciences/11-Hackathons-Shinkansen-Travel-Experience at main · saratily/data-sciences

Shinkansen Bullet Train in Japan, and passengers’ experience with that mode of travel. This machine learning exercise aims to determine the relative importance of each parameter with regards to their contribution to the passengers’ overall travel experience. The dataset contains a random sample of individuals who traveled on this train. I used logistic regression, K-Nearest Neighbors and decision tree techniques to train a model for this problem and after tuning a random forest model, my solution had an accuracy of 0.951547. Jun 2023 — Detect Facial Emotions — data-sciences/09-Capstone-Project Analyzed the food ordering pattern from a food aggregator company. I used the Jupyter lab with Anaconda to train, organize, run and analyze datasets and models that yield meaningful results. I used Base Neural Network, Convolutional Neural Network, Transfer Learning Architectures, such as VGG16, ResNet v2, and Efficient Net to create a computer vision model that can accurately detect facial emotions. Apr 2023 — FoodHub Order Analysis — eportfolio.mygreatlearning.com/sara-tily Analyzed the food ordering pattern from a food aggregator company. I used the Jupyter lab with Anaconda to train, organize, run and analyze datasets and models that yield meaningful results. In this project, I learned how to leverage data to improve decision-making within an organization. PUBLICATION

Sara Tily, Marguerite C. Murphy, Omkar Dangat, Christopher D. Smith, GO Visual Browser, Fifth International Conference on Semantic Computing (IEEE ICSC 2011), September 18-21, 2011, Stanford University, Palo Alto CA, USA

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