Summary
Overview
Work History
Education
Skills
Certification
Timeline
Generic

ALTAMASH QURESHI

Jersey City,NJ

Summary

Experienced Data Engineer with 4+ years of expertise in developing scalable data solutions for finance, logistics, and the public sector. Skilled at translating complex data needs into user-friendly models, automated pipelines, and reliable reporting systems that deliver measurable outcomes. Recognized for implementing cost-efficient strategies, optimizing compliance procedures, and enabling data-driven decision-making at scale.

Overview

6
6
years of professional experience
1
1
Certification

Work History

Senior Data Engineer

Hakkoda
08.2023 - 04.2025
  • Designed star schema data models in dbt with well-defined fact and dimension tables based on business KPIs, streamlining reporting layers and replacing manual Excel workflows with automated, scalable insights.
  • Designed and orchestrated data pipelines using Airflow and Fivetran to ingest and transform API-driven data into Snowflake, enabling real-time Net Sales and Customer insights to Sales Managers.
  • Led Snowflake data model migration from Oracle with performance-tuned CTE logic, cutting spoilage report runtime by 80%.
  • Implemented Snowflake RBAC for secure access control and built generic and unit tests in dbt to validate source freshness, model integrity, and downstream assumptions—ensuring 95%+ test pass rate across key pipelines.
  • Enabled $250K/year savings through refined spoilage insights and route optimization, aligning technical output with logistics objectives.

Data Analytics Engineer

Perficient - Client: Wells Fargo
02.2022 - 07.2023
  • Led remediation strategy across 6 business units, resolving 150+ customer and fraud cases—cutting average case resolution time by 45% and improving compliance traceability.
  • Automated PySpark pipelines via Airflow, increasing data throughput by 60% and reducing manual remediation prep time by 40%.
  • Created parameterized SQL procedures and triggers in Synapse, cutting data validation cycle time by 35% and minimizing error rates across 20+ datasets.
  • Delivered 15+ Power BI dashboards that tracked remediation KPIs in real time, enabling leadership to make faster decisions and improve SLA visibility.

Business Intelligence Engineer

Perficient - Client: Caterpillar
02.2022 - 07.2023
  • Designed and delivered 40+ dynamic and interactive performance measurement dashboards and reports for financial data using Power BI, enabling data-driven insights for stakeholders while supporting ad-hoc reporting needs
  • Facilitated the testing and validation of data migration processes from Oracle to Snowflake, ensuring the accuracy of over 5 million records through minute-level validation
  • Developed and optimized 30 Alteryx transformation workflows transitioned from Tableau Prep, aligning them with client requirements and utilizing Snowflake to maintain old and new data files, achieving a 30% reduction in data preparation time


Business Analyst

Rann Neeti
01.2019 - 12.2019
  • Developed a structured voter database using Oracle and Excel, analyzing data from over 100,000 voters, and utilized SQL queries like subqueries, Partition, and CTE to structure a database and extract relevant information, enabling targeted campaign
  • Utilized Tableau maps with drill-down capabilities, to analyze risk assessment techniques to identify optimal locations for 25 campaign events, resulting in an impressive 18% increase in positive voter potential

Education

Master of Science - Engineering Management (Data Analytics)

Stevens Institute of Technology
Hoboken, NJ
12.2021

Bachelor's in Technology - Electronics and Telecommunication Engineering

Rajiv Gandhi Institute of Technology
05.2019

Skills

  • Cloud Experience: AWS S3 Bucket, Azure Data Lake Gen 2
  • Database & Warehousing: Oracle, SQL Server, MySQL, PostgreSQL, Snowflake, Databricks
  • Data Transformation Tools: DBT, Apache Spark, Alteryx, Python (Pandas, Numpy)
  • Orchestration and Scheduling: Airflow, Fivetran, Git, Azure Data Factory
  • Data Visualization: Power BI, Tableau, Oracle BI Enterprise Edition, Looker, MS Excel, MS PowerPoint
  • Methodologies: Data warehousing, ETL, Data Modeling, CI/CD, Data Viz, Business Intelligence, Data Architecture, Scrum, Agile

Certification

  • Snowflake SnowPro Core
  • DBT Analytic Engineer
  • SQL for Modularity using DBT

Timeline

Senior Data Engineer

Hakkoda
08.2023 - 04.2025

Data Analytics Engineer

Perficient - Client: Wells Fargo
02.2022 - 07.2023

Business Intelligence Engineer

Perficient - Client: Caterpillar
02.2022 - 07.2023

Business Analyst

Rann Neeti
01.2019 - 12.2019

Master of Science - Engineering Management (Data Analytics)

Stevens Institute of Technology

Bachelor's in Technology - Electronics and Telecommunication Engineering

Rajiv Gandhi Institute of Technology

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