I leverage data assets to meet mission needs, ensuring data quality and establishing standards and governance. In an agile, collaborative environment, I partner with client stakeholders to develop and improve mission-based solutions. I monitor cloud-based systems for performance, reliability, and security, create and configure cloud resources, and provide technical oversight for Data Warehouse solutions including ETL processes. I develop and optimize SQL queries, build data pipelines with Apache Airflow in GCP, and work with Snowflake utilities and Big Data models using Python. Additionally, I have experience with AWS EMR Spark clusters, GCP Dataflow, and various cloud services. My technical skills include Python, MySQL, SparkSQL, PySpark, Pandas, NumPy, Databricks, and shell scripting

I have applied advanced statistical concepts such as probability, T-tests, F-tests, R-squared, and P-values to uncover insights from datasets. My experience includes working in large-scale database environments like Hadoop and MapReduce, interfacing with ETL servers for data extraction, and identifying patterns and data quality issues to leverage business opportunities. I have created and managed pipelines in Azure Data Factory for ETL processes involving various sources like Azure SQL and Blob storage. My expertise extends to designing and developing NLP models for sentiment analysis, using predictive modeling tools in SAS, SPSS, R, and Python, and applying clustering algorithms with Scikit and SciPy. Additionally, I have performed complex pattern recognition and forecasting of financial time series data using ARMA and ARIMA models. I have built and analyzed datasets using R, SAS, Matlab, and Python. My technical skills include machine learning, MS Azure, Cassandra, Spark, HDFS, Hive, Pig, and Tableau.

I have utilized Docker and Ansible to automate the deployment and execution of benchmark suites on clusters of machines. My expertise includes Linux Bash scripting and adhering to PEP-8 guidelines in Python. I have developed Spark SQL jobs using DataFrames and executed complex HiveQL queries, including writing Hive UDFs for data extraction. Additionally, I have built Python/Django applications for Google Analytics aggregation and reporting, managing URLs and application parameters. My web development skills include using Python, Django, XML, CSS, HTML, JavaScript, and jQuery. I have analyzed data using Python, R, SQL, Microsoft Excel, Hive, PySpark, and Spark SQL for data mining and cleansing. I am experienced with public and private cloud platforms like AWS and Microsoft Azure, utilizing services such as EC2, S3, RDS, Elastic Load Balancing, and CloudFormation. I have worked with SQLite, MySQL, and SQL databases, and various Python IDEs including PyCharm, Spyder, and NetBeans. My development lifecycle includes using libraries like Requests, NumPy, SciPy, Matplotlib, and Beautiful Soup.

I have built and operated scalable systems, services, and products, writing clean, high-quality, and maintainable code. I have implemented proofs of concept, prototypes, and production-grade software, with automated monitoring and alerting integrated into the systems. My role included providing primary support for system build, design, testing, and deployment while collaborating across the organization. I created various transformations in Informatica according to business logic, improved workflow performance, and managed tasks and workflows in the Workflow Manager. Additionally, I developed web services using XML and jQuery, improved performance through modular approaches, and maintained program libraries and technical documentation. I have experience in Agile methodologies and the SCRUM process, writing unit test cases, and being involved in the entire project lifecycle. I also built various graphs for business decision-making using the Python matplotlib library.