# Roshini Padmanabha > Data Analytics Engineer @ Sigma | Engineering Data & BI Solutions | MS in Information Systems | SaaS | Product | 3X AWS | GCP | Snowflake | DataBricks | AI | SQL | Python | DBT | ERP Location: San Francisco Bay Area, United States Profile: https://flows.cv/roshinipadmanabha 👋 Roshini Who? Born and raised in Bangalore, the "Silicon Valley of India." I'm an engineer and data enthusiast with 4+ years of experience driven by a passion to simplify systems and complex information, empowering strategic decisions for the Business, and building meaningful human connections. Open to roles as a (AI focussed) - Data Analyst , Data Engineer, Business Intelligence Engineer, Product GTM Roles in San Francisco Bay Area, CA (Open to Relocate). A perfectionist at heart, I thrive at the intersection of Tech, data and people, creating solutions that help organizations grow. I enjoy working with product-led, people-first organizations, especially across Tech, SaaS, Retail, Healthcare and EV domains, where I hold experience in systems and enterprise analytics that can directly influence growth, efficiency, and customer outcomes . 🌍 Fluent in multiple languages, I adapt seamlessly across global, cross-functional teams bringing clarity, structure, and precision to complex analytical problems. 📊 Career Highlights - Sigma Computing: Empowered internal and external teams to accelerate analytic workflows through Agentic AI-powered BI solutions on Cloud data platforms (Snowflake, DataBricks, BigQuery) hosted on AWS & GCP, automated data workflows, built data applications, and optimized cloud data architectures; driving faster insights and operational efficiency for Sigma's internal teams and its clients. - ResMed: Increased annual revenue by providing data driven insights to optimize SaaS client contracts, streamlined data pipelines & built analytical Power BI dashboards. - TCS: Automated Supply chain/Logistics ETL pipelines, BI solutions, internal data workflows, enhancing operational productivity, & ensuring 98% ERP application uptime. Troubleshooted batch processes & mentored junior engineers. - Cleantech San Diego: Delivered data-driven GTM strategies & mined data for dashboards leveraging A/B tests, market segmentation for EV & sustainability startups. - Personal/Academic Projects: Engineered scalable applications, real-time data pipelines, Machine Learning models, Visualizations, and business solutions to solve diverse use-cases and problems. 🔧 Core Skills Data Storytelling | SQL | Python | Cloud : AWS, GCP, Azure | Snowflake, DataBricks, BigQuery, Redshift Cloud Data platforms | Power BI, Tableau, Looker, Sigma, Hex | ETL/ELT Pipelines | Data Science | A/B Testing | Data Warehousing | Cross-functional Communication | Troubleshooting | Data-Driven Strategy | Foundational Software/Web Development| AI / LLM Workflows | Machine Learning ## Work Experience ### Data Analytics Engineer @ Sigma Jan 2025 – Present | San Francisco, CA •Consulted on user-facing BI and data workflows across cloud warehouses like Snowflake, BigQuery, Redshift, DataBricks to identify Warehouse performance bottlenecks and improve dashboard efficiency by 40%. • Partnered with Product, Engineering, and customer data teams to translate business requirements into scalable data solutions, improving BI workflows • Built and maintained data pipelines, governed datasets, and semantic data models (DBT, SQL) to support scalable analytics and AI data applications for various domains and use cases. • Automated AI workflows and internal tooling using Claude, Glean, RAG Systems, Python, Sigma GraphQL APIs, with cloud integrations and object storage across AWS and GCP environments , improving operational efficiency. • Led root cause analysis and incident resolution to improve system reliability, reducing recurring BI outage issues. Closely collaborated with Product, Customer Success & Support teams to triage issues and influence Product roadmap features and bugs using tools like Jira and Confluence. ### Data Analyst @ San Diego State University Jan 2023 – Jan 2025 | San Diego, CA - Worked as a Graduate Research Assistant for the Marketing Department at SDSU, assisted on data aggregation, to perform data analysis and interpret huge datasets. - Utilized Python scripting for web scraping through API's and to optimize data ingestion processes - Conducted Market research and assisted with forecasting, descriptive analytics of datasets. - Worked on automating of ingesting large-scale Qualtrics survey data, reducing manual processing. - Designed BI dashboards, performed data cleaning and transformation, enabling accurate and efficient reporting. ### Graduate Research And Teaching Assistant @ San Diego State University Jan 2024 – Jan 2024 • Mentoring and teaching 100+ first-year students from Business and General Sciences majors, helping them succeed in their academic transition to university life. Enhancing student learning experiences & demonstrating leadership skills serving as an Instructor. ### Business Intelligence Analyst @ Cleantech San Diego Jan 2024 – Jan 2025 | United States Worked for the Southern California Energy Innovation Network (SCEIN), and as part of this prestigious Fellowship program, I provided technical & product analytics consulting services to Cleantech based startups, helping them navigate challenges and achieve their goals in alignment with California's renewable energy initiatives. - Consulted for an EV charging startup, to deliver streamlined ETL workflows, data-driven recommendations and visual reports, for EV station site expansion and optimal pricing strategies. - Built automated data pipelines to ingest and transform data from REST APIs and partner systems, enabling a centralized analytics layer that supported scalable reporting for EV site performance and expansion planning. - Created interactive dashboards integrated with datasets to monitor charging station performance, energy throughput, and operational efficiency. - Collaborated with Carbon Blade's product and marketing teams to analyze customer segments, perform risk analysis, and build a go-to-market strategy using cohort data and market research insights aligned with California’s clean energy initiatives. ### Data Analyst Intern @ ResMed Jan 2024 – Jan 2024 | San Diego, California, United States • Worked on data modeling using Snowflake Data warehouse, Dbt for comprehensive SaaS data analysis and visualization of Healthcare data. • Built visually appealing ETL Costing dashboards & usage reports on Power BI • Engineered data pipelines utilizing AWS S3, DBT, Apache Airflow and Python scripts, resulting in a 30% reduction in data warehouse costs ### Database Engineer @ Digital Innovation Lab (DiLab) Jan 2023 – Jan 2023 Orchestrated the Database development & integration of modules for Mentor Mentee Application development using Microsoft SQL Database and SSIS optimizing the workflow by 10%. Seamlessly collaborated with cross functional teams like UI/UX, Project Management and Machine Learning Engineers to work on this project. ### Data Engineer @ Tata Consultancy Services Jan 2021 – Jan 2023 | Bengaluru, Karnataka, India • Designed and optimized data models and SQL views for retail ERP platforms, supporting POS, WMS, and e-commerce applications to enable enterprise reporting and analytics. • Developed and maintained ELT workflows using Python, SQL, orchestrated via jobs to streamline batch processing and improve pipeline efficiency across downstream systems. • Collaborated with cross-functional teams to gather requirements for executive-level BI dashboards delivering real-time insights for the users of our client Organization - Landmark Group (SPAR Hypermarket, MAX fashion) • Performed root cause analysis utilizing SQL, Python and Bash scripting for high application up-time up to 99.9%. • Leveraged advanced statistical techniques using R and Python to mine large retail datasets, identifying critical patterns in customer purchase behaviors, store performance, and pricing strategies, increasing customer retention and sales by 20%. • Conducted 30+ peer code reviews and mentored 4 junior developers during onboarding to ramp up on the internal tooling and functional knowledge for Retail Supply chain systems ### Software Engineer Intern @ Quantum Gully Jan 2021 – Jan 2021 | Bengaluru, Karnataka, India Developed a Spotify Clone Web application incorporating all features of the music streaming platform. Worked primarily on the backend using Python Flask Framework and JavaScript for the server and database connectivity. Also designed few frontend dynamic web pages replicating the features of Spotify music web App. ### IEEE TOCE Vice Chair Member @ IEEE Computer Society Jan 2019 – Jan 2021 | Bangalore Urban, Karnataka, India - Headed the team as a Vice Chair Member in managing TOCE's IEEE CS Club and its members. - Led & managed the coordination of various events, webinars and quizzes on various Technologies of Computer Science. - Organized recruitment drives and workshops to promote teamwork and active participation in the student society and club. ### UI Designer @ Arohak Inc. Jan 2020 – Jan 2020 | New Jersey, United States ### Software Engineer Intern @ Biztime IT Solutions Pvt.Ltd Jan 2019 – Jan 2019 | Bengaluru Area, India Developed and tested features for ZonalDesk -A customer query resolution service, which aimed at providing engineering services for rural areas of India. Worked primarily on Python and C code. Modified and configured systems to improve performance. ### Social Media Designer @ Expetra Jan 2019 – Jan 2019 | New Delhi Area, India Created content and managed their social media platforms relating to experiential travel learning and social welfare programs for the underprivileged. Wrote articles and blogs, designed appealing visuals and other informative, marketing and promotional material. ## Education ### Master of Science - MS in Information Systems and Big Data Analytics San Diego State University ### Bachelor of Engineering in Computer Science Visvesvaraya Technological University ### Pre University in Physics Chemistry Mathematics Computer Science SKCH PU College ### School JSS Public School ## Contact & Social - LinkedIn: https://linkedin.com/in/roshini-p21 - Portfolio: https://rosh-portfolio.vercel.app/ - Portfolio: https://www.linkedin.com/pulse/data-sharding-vs-partitioning-breaking-down-basics-roshini-padmanabha-c8s9c --- Source: https://flows.cv/roshinipadmanabha JSON Resume: https://flows.cv/roshinipadmanabha/resume.json Last updated: 2026-04-13