Available to hire
I am a data professional who translates complex datasets into actionable insights for clients. I specialize in Snowflake, SQL, T-SQL, and stored procedures across on-premises and cloud environments, and I design scalable ETL pipelines using Python and SSIS to ensure reliable data flow and high-quality analytics.
My work blends technical rigor with cross-functional collaboration—partnering with IT and business teams to translate requirements into robust migration and reporting solutions. I enjoy automating data processes, building dashboards in Power BI, and delivering repeatable, data-driven outcomes that empower decision-making.
Skills
Experience Level
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Language
English
Fluent
Work Experience
Data Analyst at McLaughlin Services
July 1, 2023 - May 1, 2025Designed and implemented scalable ETL pipelines in PostgreSQL and MS SQL using SSIS and Python to migrate complex datasets across multiple source systems with high data accuracy. Automated data preparation and ERP imports using Python (Pandas, NumPy), generating standardized CSV and Excel outputs. Led full-cycle ERP data migrations, coordinating technical execution and stakeholder alignment. Improved Excel reporting efficiency through VBA and SSRS automation of data ingestion and reporting workflows. Partnered with IT and business teams to translate data requirements into reliable migration and reporting solutions. Recognized as a subject matter expert for data mining, automation, and quantitative analysis.
Data Analyst at Comcast
September 1, 2022 - December 1, 2022Performed ETL processes and automation using Snowflake, SQL, and Python to load, transform, and validate data from CSV, TXT, and Excel sources. SSIS, ADF, Stored Procedures and T-SQL scripts with On-premises SQL Server or Python Pandas with PostgreSQL creating ETL and SFTP processes. Data migration and analyzing with Pandas for manipulating and mapping data into seamless data transformation and system integration. Utilized tools such as SQL, Excel, SSIS, SSRS, and proprietary ERP migration utilities to automate and streamline data migration workflows. Construct data pipeline workflows using Azure Data Factory for automation on data management. Data modeling using Power BI Desktop, Power Query, DAX and SSRS for building reports to build dashboards.
Data Analyst at Ventra Health
May 1, 2022 - August 1, 2022Developed T-SQL stored procedures to support data warehouse processes, including data selection, validation, and inserts. Built Python scripts using Pandas and NumPy to transform CSV, TXT, and Excel files, perform data validation (e.g., account number integrity, date-of-service presence, and format), and load data into SQL databases. Executed end-to-end ETL workflows using Sage migration utilities and supporting tools (SQL, Excel, SSIS, SSRS) to deliver clean, validated datasets for system migrations.
Data Analyst at Luxottica
September 1, 2021 - January 1, 2022Performed data transformation and manipulation using Python (Pandas), generating structured Excel and CSV outputs. Designed and implemented SSIS packages, Azure Data Factory pipelines, SSRS reports, and T-SQL stored procedures within an OLAP dimensional data model. Managed source control using GitHub, applying branching, versioning, and collaborative development workflows.
Data Analyst at Magellan Health
June 1, 2021 - September 1, 2021Architected and maintained SQL, T-SQL, and stored procedure solutions supporting SSIS, Azure Data Factory, and SSRS within on-premises SQL Server environments. Led ETL design, optimization, and data analysis using Python (Pandas, NumPy) and advanced SQL scripting. Implemented scalable Python-based data transformation frameworks, exporting analytical results to structured, multi-tab Excel deliverables for business consumption.
Data Analyst at CIOX Health
September 1, 2018 - February 1, 2020Engineered Python-based automation for file orchestration, validation, SFTP transfers, and alerting, alongside large-scale data transformation using Pandas. Designed and optimized SSIS and Azure Data Factory pipelines to merge, normalize, partition, and process high-volume datasets based on defined business rules. Built and maintained analytical data models leveraging Power BI Desktop, Power Query, and DAX to support downstream analytics and consumption layers. Implemented and tuned advanced SQL solutions—including stored procedures, triggers, and functions—to support performant, scalable data platforms.
Data Analyst at HMCA
June 1, 2017 - August 1, 2018Automated file orchestration, validation, SFTP transfers, and alerting using Python. Built and optimized SSIS and Azure Data Factory pipelines for file merging, transformation, field parsing, and data partitioning. Developed SQL stored procedures to orchestrate ETL workflows on on-premises SQL Server.
Data Analyst at New York Presbyterian Queens
January 1, 2015 - May 1, 2017Designed and maintained SSIS-based ETL processes ingesting data from hospital systems (Eagle and Allscripts). Administered SQL Server environments, including table maintenance, stored procedures, SQL Agent job scheduling, and user management. Developed and automated SSRS reports, distributing outputs via scheduled subscriptions and SSIS-driven delivery.
Education
Qualifications
Industry Experience
Healthcare, Software & Internet, Professional Services, Retail, Education
Skills
Experience Level
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
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