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.
Experience
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
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
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%
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
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
Northeastern University
Master of Science - MS
University of Mumbai