Abhishek Naithani
Data Analyst (Treasury) @GFL Environmental Inc.
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WORK HISTORY
Data Analyst (Treasury) @GFL Environmental Inc.
Toronto, ON, CA
Developed and optimized AWS Glue ETL pipelines with Crawlers and Delta Files to consolidate Accounts Receivable (AR) data,enabling efficient financial data analysis and reporting.2. Developed PySpark transformations and optimized SQL queries to generate daily aged trial balance (ATB) incorporating standardized aging buckets and month-over-month comparisons, cutting manual reconciliation efforts by 75%.3. Created QuickSight dashboards using Athena datasets, visualizing key AR metrics such as aging trends, payment performance, and customer-level insights, improving collection efficiency by 15% through faster identification of high-risk accounts.4. Engineered automated forex rate application logic using PySpark DataFrames and SQL window functions, ensuring 100% accuracy in monthly multi-currency adjustments across invoices and payments, aligning with audit and compliance standards.5. Developed Infrastructure as Code (IaC) scripts using Terraform to provision and manage AWS Glue jobs, Crawlers, and S3 storage, ensuring consistent, version-controlled infrastructure deployments across environments.
EDUCATION
Lambton College
Postgraduate Degree
Maharshi Dayanand University
Bachelor of Technology
ABOUT ABHISHEK NAITHANI
I am a data-driven professional with a strong background in data analysis, business research, and analytics. I have worked with top organizations like RBC, GFL, and Ameriprise, where I developed expertise in SQL, data modeling, business intelligence, and predictive analytics. My focus is on transforming complex data into actionable insights that drive business decisions and improve overall performance. I am passionate about using data to solve business challenges, optimize processes, and uncover opportunities for improvement. Whether analyzing financial data, conducting market research, or managing healthcare data, I consistently work across teams to create solutions that align with business goals. I am proficient in tools like SQL, Power BI, Tableau, and Python, and specialize in data visualization, statistical analysis, and automating data workflows. With a keen interest in emerging technologies like machine learning and AI, I am constantly exploring new ways to innovate and improve how data can be used to solve real-world problems. I thrive in dynamic, collaborative environments and am always eager to take on new challenges that require creativity and strategic thinking. I am committed to continuous learning and growth, always looking for opportunities to apply my skills to make a meaningful impact and help organizations achieve their objectives.
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