ANKITA SHARMA
Bothell
Summary
Senior Data Engineer specializing in building scalable data platforms and driving business-critical analytics across high-impact domains. Expertise in designing data foundations, enabling forecast transparency, and leading cross-functional initiatives with Data Science, Product, and Finance teams. Proven ability to reduce investigation time, improve decision-making, and deliver systems that scale across organizations.
Overview
10
10
years of professional experience
1
1
Certification
Work History
Senior Data Engineer
Atlassian
Bellevue
04.2025 - Current
- Designed and implemented an end-to-end RCA data foundation, capturing baseline forecasts, adjusted forecasts, and incremental uplifts with full metadata traceability.
- Reduced metric investigation time from days to hours by building self-serve RCA dashboards that enable stakeholders to quickly identify drivers of forecast variance.
- Increased forecast explainability by decomposing key metrics (MAU, PEU, D1–D6, FFP) into component-level drivers.
- Owned RCA data foundation and forecast explainability for company-wide metrics, enhancing data-driven decision-making.
- Enabled Product, Finance, and Data Science teams to independently debug forecast deviations, significantly reducing reliance on ad-hoc data analysis.
- Partnered with Data Science to align forecasting methodologies and variance analysis frameworks, improving consistency across teams.
- Drove cross-functional alignment on metric definitions and data consistency, ensuring reliable reporting across systems.
- Delivered high-visibility dashboards that provided insights into forecast vs actual performance, facilitating quicker business decisions.
- Used Atlassian’s internal AI tool, Rovo Dev, to build an AI skill to improve how stakeholders interact with RCA datasets. Instead of relying solely on SQL queries or dashboards, I enabled more intuitive data access, which helped teams explore root causes faster and reduced dependence on data engineers.
Data Engineer, Analytics
Meta
Bellevue
08.2021 - Current
- Designed and built scalable data pipelines using Python and Presto SQL to process large-scale event data for advertiser products.
- Led development of CAPI (Conversions API) adoption data foundation, enabling visibility into onboarding funnels and adoption trends across platforms.
- Established foundational data systems for advertiser analytics and monetization observability, enhancing data accessibility and insights.
- Identified logging gaps across product surfaces and partnered with Engineering to implement fixes, improving data reliability and observability.
- Created datasets for entry point tracking and onboarding flows, facilitating improved understanding of advertiser journeys.
- Built dashboards for Signal Growth, Advertiser Friction, and Monetization Observability, improving SEV detection and reducing time-to-detect.
- Delivered business-critical dashboards for revenue and performance trends (WoW, MoM, YoY) for leadership and stakeholders.
- Partnered with Product, Data Science, and Engineering teams to define data standards and logging best practices, ensuring data consistency and reliability.
Data Engineer
The RepTrak Company
Boston
01.2021 - 08.2021
- Built API-driven data pipelines using Python, Pandas, Redshift, and S3 for real-time market data ingestion and processing, enhancing data accessibility for analytics.
- Designed Airflow DAGs to orchestrate scalable data workflows, streamlining data processing tasks and improving workflow efficiency.
- Implemented data validation frameworks to ensure accuracy and consistency of ingested data, safeguarding data integrity for downstream analysis.
- Managed CI/CD pipelines using Jenkins and version control via GitHub.
Data Engineer
DataKitchen
Cambridge
04.2020 - 01.2021
- Developed and optimized ETL pipelines using SQL, Python, and Redshift, enhancing data reliability within a DataOps framework.
- Built monitoring systems (“data watchers”) to proactively detect and address pipeline delays and failures.
- Collaborated with customers to ensure clear communication and transparency in data workflows, enhancing user satisfaction.
- Operated in agile environments with sprint-based delivery.
Database Engineer
eClinicalWorks
Westborough
02.2016 - 04.2020
- Optimized database performance using indexing and query tuning, improving efficiency by 60%.
- Implemented AWS solutions (S3, EC2, Redshift) to enable scalable data storage and processing capabilities.
- Automated large-scale healthcare data migration pipelines, reducing processing time by 75%.
- Developed data validation and exception tracking systems with Python (Pandas) to enhance data integrity.
- Mentored offshore teams on healthcare data standards to ensure compliance and improve data handling practices.
Education
Master of Science - Computer Science
New Jersey Institute of Technology
Newark, NJ05-2016
Bachelor of Engineering - Information Technology
Fr. C. Rodrigues Institute of Technology
India01-2012
Skills
- Data pipeline development
- ETL optimization
- Data modeling
- Amazon Web Services (S3, Redshift, EC2, Airflow)
- Databricks
- Python
- SQL
- T-SQL
- Microsoft SQL Server
- PostgreSQL
- Tableau data visualization
- RCA analysis
Certification
Python Programming Certification, Wesleyan University
Timeline
Senior Data Engineer
Atlassian
04.2025 - Current
Data Engineer, Analytics
Meta
08.2021 - Current
Data Engineer
The RepTrak Company
01.2021 - 08.2021
Data Engineer
DataKitchen
04.2020 - 01.2021
Database Engineer
eClinicalWorks
02.2016 - 04.2020
Master of Science - Computer Science
New Jersey Institute of Technology
Bachelor of Engineering - Information Technology
Fr. C. Rodrigues Institute of Technology