Ameer R.
Data Engineer
Ameer is a Data Analytics Engineer with over five years of experience in designing and implementing complex, scalable data models, end-to-end ETL/ELT pipelines, and modern data architectures.
Proficient in a wide range of tools and technologies—including PostgreSQL, MySQL, Python, Spark, Redis, Snowflake, DBT, Talend, and Airflow—he consistently delivers efficient, reliable data solutions tailored to evolving business and technical requirements.
Renowned for his adaptability and problem-solving mindset, Ameer maintains high standards of technical performance while ensuring stakeholder satisfaction. His proactive approach, strong ownership, and deep technical expertise make him a trusted contributor to data-driven initiatives, consistently aligning data solutions with strategic business goals.
Main expertise
- PostgreSQL 5 years
- Data Engineering 5 years
- Data Analytics 5 years
Other skills
- Agile 6 years
- Scrum 6 years
- Linux 5 years
Selected experience
Employment
Senior Data Engineer
Afiniti - 5 years 11 months
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Designed data attribution for client call routing scenarios using SQL procedures and data transformation tools.
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Developed, maintained, and optimized ETL routines and complex MySQL and PostgreSQL workflows for data-intensive processes.
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Provided ad-hoc analyses and visualizations to support business insights.
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Sourced, cleaned, and integrated data from data warehouses and platforms, including Snowflake, Teradata, and Palantir.
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Optimized sales and retention for high-revenue clients, increasing monthly revenue by approximately $100 million.
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Integrated with complex data sources to meet data requirements, coordinating effectively with Data Scientists and Analysts.
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Projects:
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Greenplum Migration
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Migrated from MySQL to Greenplum. Optimized ETL pipeline using MPP, reducing 50% of data processing times.
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Snowflake Migration
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Migrated data processes from on-prem hardware to Snowflake backed by AWS cloud, reducing data deliveries by 75%.
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Customer Account History
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Created customer history, bringing in features for better model predictions and increased 7% of customer satisfaction.
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Customer Segmentation and Churn Scores
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Segmented customer attributes and assigned scores to predict churning customers and reduce churn rate by 25%.
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Customer Lifetime Value
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Developed CLV metric based on customer type and products and helped increase sales by 17% compared to fix.
Technologies:
- Technologies:
PostgreSQL
AWS
- Data Engineering
MySQL
ETL
SQL
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Software Engineer
TPS Worldwide - 1 year
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Developed and integrated REST APIs in TypeScript (JavaScript) and C# for various back-end banking operations.
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Managed a legacy internet banking application in C# for established banking institutions.
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Collaborated with internal teams, including Mobile Application, Front-end, Implementations, and DevOps, to facilitate the deployment of banking solutions.
Technologies:
- Technologies:
JavaScript
REST API
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Education
BSc.Computer Science
FAST National University of Computer and Emerging Sciences · 2014 - 2018
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