# Shruti Kasar

> Senior Software Engineer I at MX | Passionate Data and BI Enthusiast | Specializing in Data Infrastructure and Engineering | Data Engineering | Cloud Infrastructure | GCP | Scrum Master

Location: Boston, Massachusetts, United States
Profile: https://flows.cv/shrutikasar

A data enthusiast, an Alumna of Northeastern University, and a passionate DataOps Engineer at MX Technology, creating data-driven solutions to help consumers understand and manage finances while making her way to The Big Picture with an Infinite Mindset.

## Work Experience
### Senior Software Engineer I (Engineering Data Infrastructure) @ MX
Jan 2026 – Present | United States
- Architect and build scalable data pipelines, ELT workflows, and streaming systems to enable reliable and efficient data consumption
- Lead data infrastructure strategy for large-scale systems, ensuring scalability, performance, and long-term data growth readiness
- Own and optimize cloud infrastructure, driving reliability, scalability, and cost efficiency
- Design and execute data migration strategies using Python and cloud technologies, ensuring seamless transitions with minimal downtime
- Oversee system monitoring, log analytics, and observability; develop dashboards for proactive performance and issue detection
- Leverage Cloud Computing and DevOps principles to automate deployments from staging to data warehouse environments
- Ensure high availability and performance of production systems through proactive maintenance and continuous optimization
- Collaborate cross-functionally with data teams to deliver high-quality, scalable data solutions using SQL and modern data engineering practices
- Facilitate Agile processes as Scrum Master, driving sprint planning, stand-ups, and retrospectives to improve team velocity and delivery
- Mentor engineers and provide technical leadership, promoting best practices in data engineering and cloud infrastructure

### Software Engineer II (Engineering Data Infrastructure) @ MX
Jan 2024 – Jan 2026 | Utah, United States
• Designing data pipelines, ELT workflows, and streaming engines to prepare data for consumption by end-users
• Planning data storage for large-scale data handling accounting for data growth & constructing data engineering solutions
• Configure data infrastructure; perform automation & orchestration via puppet & ansible to manage complex tasks
• Utilizing Python and cloud technologies to develop and implement migration plans, ensuring smooth transitions for critical data and systems as well as crafting scalable patterns for efficient data consumption
• Responsible for overseeing infrastructure monitoring, performing log analytics, and spearheading the design of monitoring dashboards
• Demonstrating a robust grasp of Cloud Computing and DevOps principles, to automate the deployment of database models from data staging areas to data warehouses.
•  Maintaining the current infrastructure to ensure uninterrupted operations and optimal performance.
• Collaborating alongside data team & contribute SQL code to curate required information & perform data development

### Software Engineer I (Data Ops Engineer) @ MX
Jan 2022 – Jan 2024 | Utah, United States
•	Architecting data pipelines & ELT workflow & streaming engines to prep data for end-user consumption
•	Planning data storage for large-scale data handling 2TB/month data growth & constructing data engineering solutions
•	Configure data infrastructure; perform automation & orchestration via puppet & ansible to manage complex tasks
•	Collaborating alongside data team & contribute SQL code to curate required information & perform data development
•	Contributing to data migration to GCP by developing & implementing migration plans using Python & GCP technologies
•	Migrating critical data & systems to GCP & crafting scalable patterns for data consumption
•	Monitor infrastructure & log analytics. Designed 21 Grafana dashboards & improved operational efficiency by 10%
•	Engineered Redpanda streaming integration, processing 10M rows from multiple databases to the central data warehouse
•	Strong understanding of Cloud Computing & DevOps concepts, experience using CI/CD pipelines to automate the deployment of database models from data staging areas to data warehouses reducing deployment time by 30%

### HR Operations Data Analytics Co-op Intern @ WEX
Jan 2021 – Jan 2021 | Portland, Maine, United States
• Exploring KPIs related to HR & Talent Acquisition Ops. to provide insights via Google Data Studio & Tableau dashboards
• Collaborating with operations team to build data infrastructure and transformation to enable efficient decision making
• Assisting HRIS projects, implement and document the changes made to improve the information systems
• Identifying manual processes maintaining information system to design and implement ways to make them automated

### Jr.Business Intelligence Analyst @ M/S. Samsherian
Jan 2017 – Jan 2019 | Panvel, Maharashtra, India
• Designed and executed client building strategies by performing brand research and competitor analysis.
• Performed analysis on the data collected by the marketing channels to get meaningful insights using BI tools.
• Developed the Key Performance Indicators and measured the brand progress with the help of BI techniques.
• Worked closely with the marketing team to design the campaignsfor targeting the right audience to build the brand profiles.
• Evaluated the marketing campaign’s effectiveness by tracking the customer habits and market trends.


## Education
### Master of Science - MS in Information Systems, Data Analytics And Business Intelligence
Northeastern University

### Bachelor's degree in Information Technology
University of Mumbai


## Contact & Social
- LinkedIn: https://linkedin.com/in/shruti-kasar14

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Source: https://flows.cv/shrutikasar
JSON Resume: https://flows.cv/shrutikasar/resume.json
Last updated: 2026-03-31