Available to hire
Hello! I’m a Sr. Data Analyst with over 10 years of hands-on experience delivering scalable data solutions across cloud platforms (AWS, GCP, Azure) and on-premises environments. I specialize in end-to-end data pipelines, data cleaning, modeling, and reporting, using Python, SQL, and modern BI tools to transform complex datasets into actionable insights. I thrive in collaborative, cross-functional teams and enjoy designing robust architectures that help organizations make data-driven decisions.
I’m constantly learning, sharing knowledge with teammates, and translating technical concepts into clear business outcomes. My experience spans healthcare, finance, and retail, and I’m adept at balancing speed with quality in fast-paced agile settings.
Work Experience
Sr. Data Analyst at Healthfirst
March 1, 2024 - PresentImplemented and managed end-to-end data processing pipelines following SDLC principles for Healthfirst, enabling efficient data flow and timely analytics. Developed Python ETL scripts to extract, transform, and load data from AWS sources (S3, Redshift, DynamoDB). Designed scalable S3 and Redshift storage solutions and leveraged AWS Lambda to automate data tasks. Orchestrated data workflows with AWS Glue and EMR for large-scale processing, and scheduled pipelines with AWS Data Pipeline. Executed ad-hoc analysis using Amazon Athena and real-time processing with Kinesis. Enforced security with IAM and KMS, and performed auditing with CloudTrail and Config. Cleaned and prepared data via OpenRefine, and processed distributed data on HDFS with MapReduce, Hive, and Pig; developed PySpark scripts for Spark clusters. Created dashboards and reports in Power BI and Jupyter Notebooks to monitor utilization, turnaround times, and provider performance. Collaborated with data stewards for governance
Sr. Data Analyst at Celonis
November 1, 2022 - February 1, 2024Utilized OpenRefine for data cleaning and transformation tasks, designed and implemented Data Pipelines using Azure Data Lake and Azure Data Factory for efficient data ingestion and processing. Developed and maintained ETL workflows using SSIS to integrate data from SQL Server into Snowflake and Azure environments. Leveraged Azure Databricks for big data analytics and machine learning workflows, optimizing data processing and analysis. Implemented Snowflake data warehouse solutions for scalable storage and retrieval. Utilized Azure Machine Learning for predictive modeling and data-driven insights. Managed CI/CD pipelines using Azure DevOps, automated business workflows with Azure Logic Apps and Functions, and developed interactive dashboards using Power BI. Conducted SQL/T-SQL queries on SQL Server, implemented real-time data streaming with Kafka and Apache Hadoop, and used Apache Spark for distributed data processing. Applied NumPy, Pandas, SciPy, PyTorch, and SpaCy for analytics and
Data Analyst at JPMorgan Chase & Co
August 1, 2020 - October 1, 2022Utilized MySQL and SQL for querying and analyzing large datasets to extract meaningful insights and generate actionable reports. Leveraged Bigtable for real-time data storage and retrieval, and applied Trifacta Wrangler for cleaning and transforming data. Used BigQuery on Google Cloud Platform to run analytical queries on massive datasets and designed Data Pipelines with Google Cloud Dataflow. Created dashboards with Data Studio and developed ML models using Keras and Scikit-learn. Managed code with GitLab and implemented IAM and VPC Service Controls on GCP to enforce access controls. Used Google Analytics for website data analysis and employed Alteryx for data quality checks. Participated in Collibra-based data governance and Agile practices (Scrum) for delivery.
Data Analyst at Walgreens Boots Alliance
May 1, 2018 - July 1, 2020Extracted and wrangled data using R and created visualizations with ggplot2 to communicate findings. Cleaned and manipulated datasets with dplyr, automated ETL with Informatica PowerCenter and Informatica MDM for master data management, and designed ETL workflows using SSIS to load data into SQL Server and AWS environments. Leveraged AWS services (EC2, S3, RDS) for scalable data management. Developed serverless functions with AWS Lambda, stored data efficiently in PostgreSQL and SQL Server, and created flowcharts with Visio to illustrate data pipelines. Built ML models with Scikit-learn and maintained version control with Git. Worked in Agile, using JIRA and Kanban. Tools: R, ggplot2, dplyr, tidyr, Excel, Informatica, AWS, Lambda, S3, RDS, PostgreSQL, Visio, Scikit-learn, Git, JIRA, Agile, Kanban.
Business Data Analyst at Arvan Technologies Pvt Ltd
March 1, 2013 - March 1, 2016Automated data cleaning, manipulation, and transformation tasks with Python to improve efficiency. Built web scraping tools using Scrapy and developed interactive dashboards in Tableau. Streamlined data integration using Talend and managed data in Oracle databases; used SAP BusinessObjects for enterprise data analysis. Enhanced data quality with Talend Data Quality, participated in early MDM initiatives, and used Looker for data exploration. Supported AWS-based data storage and processing, managed tasks with Trello, and maintained version control using Git. Collaborated in Agile environments to deliver data-driven insights.
Education
at University Of Central Missouri
August 1, 2016 - May 1, 2018Qualifications
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