Available to hire
Dear Hiring Manager,
I am an AWS Data Engineer with nearly three years of experience building scalable data pipelines using S3, Glue, Lambda, Redshift, Python, and PySpark. At ADP, I optimized ETL workflows, implemented Databricks pipelines, and automated deployments with Terraform and CloudFormation. I also have experience with PostgreSQL, MongoDB, and Airflow, ensuring reliable, production-ready solutions.
I am eager to leverage my AWS expertise to deliver high-performance data solutions that drive actionable business insights.
Skills
Work Experience
AWS Data Engineer at ADP
June 1, 2023 - PresentArchitected and optimized AWS-based data pipelines using S3, Glue, Lambda, Kinesis, and EMR, improving data processing efficiency and reducing batch runtime by 30%. Engineered scalable ETL/ELT workflows using Python, SQL, and PySpark, increasing query performance by 40% and supporting real-time analytics across multiple business units. Designed distributed data processing solutions in Databricks using Spark and PySpark, enabling analysis of 1TB+ datasets with faster execution times. Automated cloud resource provisioning with Terraform and CloudFormation, reducing deployment time from hours to minutes and ensuring consistent environment setup. Implemented and managed workflow orchestration using Apache Airflow, improving monitoring, SLA adherence, and error detection by 25%. Built data quality and observability frameworks using Glue, CloudWatch, and Spark validations, reducing data inconsistencies by 40%. Collaborated with data science, BI, and product teams to deliver high-quality, pro
Database Developer at 1Rivet
June 1, 2021 - August 1, 2022Developed end-to-end ETL pipelines using SQL and Python, reducing data preparation time by 50% and improving reporting efficiency. Designed AWS-based data workflows with S3, Redshift, Glue, and Lambda, enabling scalable storage, transformation, and analytics for enterprise reporting. Built dimensional data models (star & snowflake schema), improving BI query performance by 35% and enabling faster dashboard generation. Automated ingestion and validation pipelines using Airflow and AWS Step Functions, reducing manual tasks by 60% and increasing reliability. Tuned SQL queries, indexing, and schema design to improve database performance and reduce query latency. Supported CI/CD pipelines using Git and Jenkins for database deployments, ensuring controlled and consistent releases across environments. Partnered with cross-functional teams to deliver optimized data solutions that supported compliance, business operations, and analytics requirements.
Education
Postgraduate Diploma in Business Analytics at Conestoga College Institute of Technology and Advanced Learning
January 11, 2030 - January 8, 2026Postgraduate Diploma in Bigdata Solution Architecture at Conestoga College Institute of Technology and Advanced Learning
January 11, 2030 - January 8, 2026Bachelors of Science in Information Technology at Uka Tarsadia University
January 11, 2030 - January 8, 2026Qualifications
AWS Certified Cloud Practitioner
January 11, 2030 - January 8, 2026AWS Certified Data Engineer – Associate
January 11, 2030 - January 8, 2026Industry Experience
Software & Internet, Professional Services
Skills
Hire a Database Developer
We have the best database developer experts on Twine. Hire a database developer in Toronto today.