Akanksha Mattoo

Data Engineer

Seattle, Washington, United States4 yrs 5 mos experience

Key Highlights

Expert in architecting scalable ETL pipelines.
Proven track record in predictive modeling.
Strong background in data integration across platforms.

Stackforce AI infers this person is a Data Engineering and Data Science professional with a focus on enterprise-scale integrations.

Contact

Skills

Core Skills

Data EngineeringData Science

Other Skills

SQLExtractTransformLoad (ETL)ETLMuleSoft Anypoint PlatformWorkdayDell BoomiR (Programming Language)TableauXSLTXMLMicrosoft Power BICross-platform DevelopmentImplementation Experience

About

I build systems that turn raw data into decisions, from real-time pipelines to predictive models that drive measurable outcomes. I'm currently a Data Science graduate student at the University of Washington, where my coursework spans machine learning, statistical modelling, experimental design, and database systems. Alongside my degree, I work as a researcher applying statistical methods — regression, clustering, survival analysis, A/B testing to large-scale datasets and translating findings into clear, actionable insights for stakeholders. My stack: Python (Pandas, Scikit-learn), SQL, R, Kafka, Airflow, Docker, Tableau, Power BI, Streamlit. I'm drawn to roles where I can work across the full data lifecycle — from pipeline architecture to model deployment to storytelling — and where the output genuinely changes how decisions get made. Open to: Data Science, Data Engineering, and ML internships (Summer 2026) and full-time roles (Spring 2027). Let's connect.

Experience

4 yrs 5 mos

Total Experience

2 yrs 1 mo

Average Tenure

2 mos

Current Experience

University of washington

Data Engineer

Apr 2026 – Present · 1 mo

Currently Working as a Data Engineer at University of Washington for their HRIS Team.
1. Heading a critical data migration initiative to consolidate disparate local datasets into a centralized institutional database.
2. Architecting scalable ETL pipelines and complex data mappings to ensure high data integrity and seamless cross-departmental integration.

SQLExtractTransformLoad (ETL)Data Engineering

University of washington information school

Graduate Teaching Assistant

Mar 2026 – Present · 2 mos · Seattle, WA

Cisco

3 roles

Data Engineer II

Promoted

Nov 2024 – Aug 2025 · 9 mos · India · On-site

1. Designed and delivered high-performance data integrations bridging on-prem and cloud systems at enterprise scale — supporting 80,000+ employees across 75+ countries and safeguarding $100M+ in HR transactions, with a focus on data reliability, compliance, and pipeline automation.
2. Architected and delivered advanced solutions for new employee Benefit programs, ensuring precise, compliant data exchanges with external brokers and partners to optimise program administration and regulatory adherence.
3. Engineered the full data integration layer for Splunk's 9,000-employee acquisition into Cisco — 300+ ETLs, 33 REST APIs, 35 Workday pipelines — and built predictive hiring models that improved forecast accuracy by 28%.

MuleSoft Anypoint PlatformSQLData Engineering

Data Engineer I

Aug 2023 – Nov 2024 · 1 yr 3 mos · India · On-site

1. Primarily responsible for designing and implementing integration pipelines with major HR service providers including Workday, Benevity, SailPoint, EY, Fidelity, Workhuman, TeamSpace, Sedgwick, and more—significantly improving data flow and process automation
2. Architected a centralized secrets management framework by integrating Conjur with Boomi iPaaS to securely retrieve credentials across authentication types, reducing operational overhead by 80% and eliminating decentralized secret storage risks.

SQLWorkdayData Engineering