Data Analyst & Analytics Engineer who builds scalable data pipelines and turns complex data into actionable business insights. Skilled in Databricks, PySpark, SQL, AWS, Azure, and BI Tools.
Get to Know Me Better
I’m a Data Analyst who builds scalable, analytics-ready data pipelines – and I speak the language of business intelligence. My work directly supports risk monitoring, fraud detection, churn analysis, and executive dashboards in financial services, telecom, and healthcare.
In my current role (Zennith Technologies):
My technical toolkit:
Databricks, PySpark, SQL, Python, Delta Lake | AWS (S3, Glue, Redshift, Lambda) | Azure Data Factory | Power BI, Tableau | Excel (VBA, Power Query)
I hold an AWS Certified Solutions Architect – Associate certification and a BS in Computer Science from Troy University.
I’m currently open to Data Analyst, Analytics Engineer, or Data Engineer roles – remote or on-site, anywhere in the US.
My Professional Journey

Zennith Technologies Inc.
•full-timeDelivered enterprise-level ETL pipelines and BI solutions by transforming and analyzing large-scale financial transaction datasets using SQL, Databricks, and PySpark. Designed scalable data architectures that reduced processing time by 40% and enabled real-time analytics for 50+ business users across finance, risk, and marketing teams.
A Comprehensive Overview of My Technical Skills and Tools
My Academic Background

Troy University
Computer Science
Comprehensive computer science education with a strong foundation in programming, data structures, databases, and software development. Coursework emphasized analytical problem-solving, system fundamentals, and practical application of computer science concepts, supporting a transition into data analytics, data engineering, and modern web technologies.
Some of My Best Projects




Real‑Time Tracking of Climate Indicators, Extreme Weather & Economic Impact


Enterprise data warehouse built using Medallion Architecture to transform ERP & CRM data into analytics-ready insights with optimized SQL models.
Professional credentials and certifications
July 7, 2024
for
Validates expertise in designing scalable, secure, and cost-efficient cloud solutions on AWS. Demonstrates strong understanding of core AWS services, architecture best practices, and cloud-native design.

Amazon Web Services
Credential ID:
0c21dccacb46490e9e4ba20bcf0b3e6d
March 20, 2024
for
Demonstrates practical knowledge of the end-to-end data analysis process, including data cleaning, analysis, visualization, and storytelling to support business decisions.

Coursera
Credential ID:
GCP-PCA-67890-2023
Milestones and Recognitions

GitHub
Recognized for independently designing and implementing a structured data warehouse, applying professional data modeling and optimized SQL queries to support scalable reporting.
Learn More
Troy University
Achieved second place in the web development track by building a full-stack application under time constraints, demonstrating strong problem-solving and teamwork.
Learn More
Amazon Web Services (AWS)
Earned industry-recognized certification validating knowledge of cloud architecture, scalability, and security best practices.
Learn More
Troy University
Merit-based scholarship awarded for consistent academic excellence and strong performance in Computer Science coursework.
Learn MoreFebruary 2025
Completed hands-on training in data analysis, SQL, visualization, and business insights. Recognized for practical application of analytical skills.
Microsoft PowerBI
August 2023
Demonstrated applied analytics skills by delivering professional dashboards that convert complex datasets into actionable insights for data-driven decision-making.
Let’s connect and explore opportunities to work together.