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Pooja .

Analytics Engineer | Power BI | SQL | Azure Databricks | PySpark| Business Intelligence | Python | AI-Assisted Analytics Development (No Sponsorship Required) W2 / C2C / Full Time Role

Bayonne

6+ years of work experience

Northern Trust
Jan 20224 yrs 7 mosPresent

United States

•Built and maintained trusted data models and Power BI dashboards by transforming raw operational and healthcare data from SQL Server and Oracle into standardized, business-ready reporting layers — aligned with bronze/silver/gold medallion architecture principles • Developed, optimized, and documented complex SQL transformations to consolidate data from multiple operational systems, ensuring consistency, accuracy, and long-term maintainability • Partnered with business, finance, and operations stakeholders to translate reporting requirements into scalable data solutions — including DAX calculations, KPI logic, and Power BI dashboards reviewed and validated with senior leadership • Performed rigorous data validation, reconciliation, and QA testing across multiple systems to maintain data integrity and audit readiness — implementing corrective improvements and documenting business rules • Leveraged AI tools (Claude, OpenAI) as a primary development workflow to accelerate SQL query writing, refactoring, Python scripting, and iterative code improvement cycles • Managed and improved data pipeline workflows including extraction, transformation scheduling, and monitoring — supporting continuous delivery of reporting solutions • Supported migration from legacy reporting tools toward modern BI environments by rebuilding report logic, improving data model structures, and standardizing KPI definitions • Conducted trend analysis and data profiling to support strategic and operational decision-making for senior leadership teams • Designed and optimized SSRS reports and Python (Pandas, NumPy) data transformation pipelines to generate high-volume operational reports with improved performance and timeliness • Collaborated with IT on data migration, UAT testing, and system integration for platform enhancements — documenting data definitions and business logic for transparency
SocialPrachar.com
Mar 20195 mosJul 2019

Bengaluru, Karnataka, India

Performed EDA, data preprocessing, and ML modeling (logistic regression, SVM) to generate predictive insights from large datasets
Wockhardt Ltd.
Apr 20121 yr 1 moApr 2013

Chhatrapati Sambhajinagar, Maharashtra, India

• Worked on data analysis, reporting, and documentation in SQL & Power BI. • Ensured online documentation, reviewed and executed BMRs, BPRs, and SOPs. • Performed preparation of data cleaning, validation, protocols & risk assessment.

Pooja’s AI Stack

Canva Magic Studio
Canva Magic Studio
ChatGPT
ChatGPT
ChatGPT Images
ChatGPT Images

Education

Liverpool John Moores University

Master's degree, Machine Learning & AI

Liverpool John Moores University

20252 yrs2027
International Institute of Information Technology Bangalore

Postgraduate Diploma, Machine Learning & AI

International Institute of Information Technology Bangalore

20251 yr2026

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Headline

Analytics Engineer | Power BI | SQL | Azure Databricks | PySpark| Business Intelligence | Python | AI-Assisted Analytics Development (No Sponsorship Required) W2 / C2C / Full Time Role

About

Analytics Engineer with 4+ years of experience building trusted BI solutions, data models, and SQL-driven reporting pipelines in healthcare and financial domains. Skilled in transforming raw operational data into scalable, business-ready datasets across layered architectures (bronze/silver/gold). Proficient in Power BI (DAX), SQL Server, Oracle, Azure cloud services, and Python — with hands-on experience leveraging AI tools (Claude, OpenAI, Gemini) to accelerate development cycles. Adept at partnering with senior leadership and crossfunctional stakeholders to deliver reliable dashboards, KPI frameworks, and analytical outputs that drive business decisions. • Reporting Tools - PowerBI, SSRS, Tableau • Database - Microsoft SQL Server, Greenplum, Oracle • Analysis Services -SSAS, DAX, SQL Server • ETL (SSIS, SSRS, SSAS) • Programming/Languages - Python, SQL, R(Basics) • Natural Language Processing (NLP) - NLTK, Spacy. • Machine Learning - Supervised and Unsupervised, A/B Testing • Cloud Technology- Azure (Azure Synapse, Azure Databricks, Azure Data Factory, ADLS) ADDITIONAL HIGHLIGHTS • Active user of Claude, OpenAI, and Gemini for AI-assisted analytics development — comfortable owning and validating AI-generated code output • Hands-on experience with Azure cloud ecosystem: Synapse Analytics, Databricks, Data Factory, and ADLS for scalable pipeline development • Strong track record of deploying iteratively, gathering stakeholder feedback, and improving BI products quickly in fast-paced environments • Pursuing Master's in ML & AI — actively applying emerging AI capabilities to accelerate BI development and data engineering workflows

Location

Bayonne

AI stack

Canva Magic Studio

ChatGPT

ChatGPT Images

Work experience

Analytics Engineer – BI / SQL / Python at Northern Trust, Jan 2022 - Present · 4 yrs 7 mos, United States, •Built and maintained trusted data models and Power BI dashboards by transforming raw operational and healthcare data from SQL Server and Oracle into standardized, business-ready reporting layers — aligned with bronze/silver/gold medallion architecture principles • Developed, optimized, and documented complex SQL transformations to consolidate data from multiple operational systems, ensuring consistency, accuracy, and long-term maintainability • Partnered with business, finance, and operations stakeholders to translate reporting requirements into scalable data solutions — including DAX calculations, KPI logic, and Power BI dashboards reviewed and validated with senior leadership • Performed rigorous data validation, reconciliation, and QA testing across multiple systems to maintain data integrity and audit readiness — implementing corrective improvements and documenting business rules • Leveraged AI tools (Claude, OpenAI) as a primary development workflow to accelerate SQL query writing, refactoring, Python scripting, and iterative code improvement cycles • Managed and improved data pipeline workflows including extraction, transformation scheduling, and monitoring — supporting continuous delivery of reporting solutions • Supported migration from legacy reporting tools toward modern BI environments by rebuilding report logic, improving data model structures, and standardizing KPI definitions • Conducted trend analysis and data profiling to support strategic and operational decision-making for senior leadership teams • Designed and optimized SSRS reports and Python (Pandas, NumPy) data transformation pipelines to generate high-volume operational reports with improved performance and timeliness • Collaborated with IT on data migration, UAT testing, and system integration for platform enhancements — documenting data definitions and business logic for transparency

Data Science Internship at SocialPrachar.com, Mar 2019 - Jul 2019 · 5 mos, Bengaluru, Karnataka, India, Performed EDA, data preprocessing, and ML modeling (logistic regression, SVM) to generate predictive insights from large datasets

Graduate Trainee at Wockhardt Ltd., Apr 2012 - Apr 2013 · 1 yr 1 mo, Chhatrapati Sambhajinagar, Maharashtra, India, • Worked on data analysis, reporting, and documentation in SQL & Power BI. • Ensured online documentation, reviewed and executed BMRs, BPRs, and SOPs. • Performed preparation of data cleaning, validation, protocols & risk assessment.

Education

Master's degree, Machine Learning & AI, Liverpool John Moores University

Postgraduate Diploma, Machine Learning & AI, International Institute of Information Technology Bangalore