Brian M.
AeroLeads people directory · profile

Brian M. Email & Phone Number

Senior Data Engineer at Amazon Web Services (AWS)
Location: Seattle, Washington, United States 15 work roles 3 schools
2 work emails found @amazon.com 1 phone found area 206 LinkedIn matched
✓ Verified July 2026 4 data sources Profile completeness 100%

Contact Signals · 2 work emails · 1 phone

Work email b****@amazon.com
Direct phone (206) ***-****
LinkedIn Profile matched
3 free lookups remaining · No credit card
Current company
Role
Senior Data Engineer
Location
Seattle, Washington, United States
Company size

Who is Brian M.? Overview

A concise factual answer block for searchers comparing this professional profile.

Quick answer

Brian M. is listed as Senior Data Engineer at Amazon Web Services (AWS), a with 142019 employees, based in Seattle, Washington, United States. AeroLeads shows a work email signal at amazon.com, phone signal with area code 206, and a matched LinkedIn profile for Brian M..

Brian M. previously worked as BI Manager and BI Engineer III, Sales Marketing and Global Services Operations at Amazon Web Services at Amazon Web Services (Aws) and BIE Manager, Sales Marketing and Global Services Operations at Amazon Web Services at Amazon Web Services (Aws). Brian M. holds Bs, Applied/Computational Math Sciences from University Of Washington.

Company email context

Email format at Amazon Web Services (AWS)

This section adds company-level context without repeating Brian M.'s masked contact details.

*@amazon.com
71% confidence

AeroLeads found 2 current-domain work email signals for Brian M.. Compare company email patterns before reaching out.

Profile bio

About Brian M.

I have over 15 years experience reporting, modeling and automating processes. My background is in Mathematics, Statistics and Computer Science. This quantitative background combined with my versatility and quick learning ability allows me to adapt to and pick up many roles. I strive for speed and efficiency and am able to automate recurring processes to require no user input thus leaving more time to get the "real" work done. Why spend hours trying to find, pull and aggregate data when that time could be better spent analyzing the data in a meaningful format? My goal is to help companies save time and analyze more efficiently.Specialties: MS Excel, MS Access, SQL, Visual Basic, data processing and manipulation, automation of recurring processes, modeling, forecasting

Listed skills include Financial Analysis, Forecasting, Access, Financial Modeling, and 31 others.

Current workplace

Brian M.'s current company

Company context helps verify the profile and gives searchers a useful next step.

Amazon Web Services (AWS)
Amazon Web Services (Aws)
Senior Data Engineer
Seattle, WA, US
Website
Employees
142019
AeroLeads page
15 roles

Brian M. work experience

A career timeline built from the work history available for this profile.

Bi Manager And Bi Engineer Iii, Sales Marketing And Global Services Operations At Amazon Web Services

Seattle, Wa, Us

Bie Manager, Sales Marketing And Global Services Operations At Amazon Web Services

Seattle, Wa, Us

Manager, Worldwide Revenue Operations

Seattle, Wa, Us

Responsible for developing solutions using advanced Excel, SQL, VBA and AWS services for a user base of over 50 to assist with reporting, auditing, operational tasks and collecting submissions for monthly process. Started as an individual contributor and progressed to managing a team of 5.• Developed a tool to collect, validate, consolidate and audit sales revenue territory updates from a user base of over 12. Tool processed roughly 10K records monthly• Automated business process to append data to 20 Sharepoint lists for initial review as well as downloading and consolidating for further review and approval. Built process to do an hourly backup used to create status reports and customized reminder emails to users who have not submitted feedback• Created multiple tools to accept and process automated requests sent via email. Tools used keywords to determine which process to run, validated requester had proper permissions, and would return file to user based on what they requested.• Developed tool to ingest templates requesting changes to international teaming accounts. Tool recognized different types of requests: new, add, remove, deprecate and included error handling to catch multiple requests on the same account. Created load file for CRM system and injected data into Redshift database for tracking and backup.• Created reporting engine for generating Excel and PDF versions of incentive compensation reports to track metrics by 3 different plan types for 5,000 payees at multiple geographic levels.• Created tool which extracted text from legal documents in more than 12 languages and created load files for incentive compensation system to ingest. Tool could process 100+ documents in roughly 15 minutes, saving a team of 4 about a week’s worth of manual work• Built auditing engine which could run automated audits daily, weekly, monthly or on demand and generate emails to responsible parties in case of audit failures

Aug 2017 - Jul 2022

Senior Business Analyst, Compute Services Finance

Seattle, Wa, Us

•Developed tool to automate calculation of drivers of margin variance between quarters/years and actuals/forecast.•Built table in Redshift to categorize 1 million credit transactions monthly. Table became standard to use for all service finance teams, FP&A, accounting and payments.•Developed methodology to allocate credits to more granular level between various services. Wrote SQL scripts to generate results and built TI process to load into TM1.•Developed cubes in TM1 to replace usage and revenue forecast previously done in Excel. Gathered requirements from users, completed all development, implementation, testing, documentation and user support. Forecast involved 20+ regions, 30+ products, 3 purchase options, 9 software types, 2 usage types and 4 revenue types over an 18 month forecasting period.•Enhanced existing TM1 forecasting system to add active user accounts•Wrote SQL scripts to take high level revenue input and transform into format and granularity to be loaded into TM1.•Launched, maintained and administered AWS Redshift cluster to assist with various data engineering tasks•Created SQL scripts, TM1 cubes and TI processes to replace cost allocation process previously done in Excel

Oct 2015 - Aug 2017

Senior Business Analyst, Capacity Planning Finance

Seattle, Wa, Us

•Oversaw transition of capital forecasting process from 6 capacity forecasting models in Excel spreadsheets into TM1 environment.•Wrote technical requirements and tested multiple iterations during development.•Educated users on new process and provided technical support during forecasting cycle.•Developed queries to assist with cost allocation process tagging methodology.

Apr 2014 - Oct 2015

Business Analyst Ii, Capacity Planning Finance

Seattle, Wa, Us

• Acted as point person for rack and server capital expenditure forecasting process. Owned and maintained forecast models to make enhancements, updates and correct errors. Collected and integrated inputs from a dozen people during planning cycles. Interpreted and answered questions on output. Developed method to upload data at a far more granular level than previously done before.• Reviewed and approved purchase requisitions for server hardware. Processed upwards of 100 requisitions per week, over $100 MM. Questioned product managers on necessity of certain orders to eliminate unnecessary orders. Caught pricing errors to save money. Developed automated process for approving and processing, reducing time to process from 1-2 minutes per requisition to under 10 seconds.• Owned monthly process for assigning racks and servers to services to determine footprint used to allocate operating expense and keep track of capacity. Processed data set exceeding 1 million rows. Improved assignment routine, first migrating it from an inherited 50 MB Excel file to an Access database to reduce errors, and then building the assignment process into a SQL script to reduce processing time.• Created report used to track rack purchases versus plan. Built functionality to enable users to select different forecasting scenarios, years, services and rack types. Automated report to allow update requests to be processed via email• Published weekly reports to track utilization of servers. Reports were used to make purchasing decisions and eliminate unneeded capital expenditures. Redesigned data structure of reports, decreasing size of files by 75%. Automated reports, reducing time taken to update from 3 hours weekly to less than 30 minutes.• Administered system used for capital purchases for entire department. Evaluated access requests from users and helped to direct to proper permission groups.

Jan 2013 - Apr 2014

President

Westwood 2 Owner'S Association

• Led meetings of homeowner's association• Prepared yearly association budgets and analyzed variances• Conducted research on issues facing the association

Jan 2008 - Jul 2016

Treasurer

West Seattle Bowl

• Counted money in 14 team envelopes for SW Kokanee men's bowling league.

Sep 2011 - Apr 2015

Financial Operations Analyst

Bellevue, Wa, Us

• Created several processes for automatically generating journal entries and critical reports as part of month end close process• Developed process for pulling transaction data, scrubbing, aggregating and generating Travel & Entertainment reports. Reduced process time from 3-4 days to a few hours• Developed routine to spread costs from an aggregate account down to 2000+ accounts based on various sets of rules. Reduced process time from 6-8 hours to 30 minutes.• Designed, implemented and maintained database for tracking and reporting on revenue. Tracked revenue from three viewpoints: contracted, recognized and cash received. Ensured data reconciled to known sources. Processed ad-hoc revenue reporting requests.• Developed completely automated solutions to parse specific email messages from customers, read commands, execute scripts and reply to messages• Enhanced comparison tool to automatically extract patent data from Excel and Word files, clean up data, and place in proper format for comparison• Developed tool to compare employee data in various systems and flag discrepancies

Mar 2012 - Jan 2013

Financial Analyst

Bellevue, Wa, Us

• Built tools used for extracting budget data for assets from various spreadsheets, assigning proper codes to assets and uploading data into system• Developed Excel front end tool for displaying data in bubble chart with 4 dimensions (X, Y, size, color), with user interface to change variables, zoom in, move quadrants and see detail• Automated a monthly process for sending out credit card statements to cardholders, reducing time needed for process from 8-12 hours to 10 minutes and greatly improving accuracy of data• Automated a monthly process for creating reminder notices for investors and sending them out, reducing time taken for process to 10 minutes• Automated a quarterly process for calculating management fees for 14 different investors, each of which is calculated differently. Reduced time taken for process to 15 minutes• Built a database used to create monthly/quarterly statements for inventors and create journal uploads for Accounts Payable to process payments to inventors• Created cash flow models showing detail at individual investor level and at aggregate fund level• Built a database used to store information on contractors• Developed and implemented a reporting tool to display market and company revenue data by region by year. Automated daily refresh and maintenance of tool

Dec 2009 - Mar 2012

Senior Financial Associate

New York, Ny, Us

• One of two employees from team of 13 identified as critical team members and selected to stay for entirety of WaMu to Chase transition• Assisted with transition by answering management questions, and by completing ad hoc analysis and reports for WaMu and Chase colleagues while maintaining existing reporting and analytics

Sep 2008 - Oct 2009

Lead Financial Analyst

New York, Ny, Us

• Acted as supporting finance partner for Online product set--analyzed trends and created models to assist with pricing, promotions and product enhancements• Created and maintained a variety of analytical balance, account, and geographical performance reporting tools utilized by Finance, Treasury, Product Managers, Network Distribution and Retail Executives to increase quality and efficiency of analysis and reporting on portfolio• Presented and trained Finance senior executives and Product teams on usage of analytical tools at the Group, State, and Regional level to assist their teams pricing/promotional decisions and key metric reporting while improving efficiency• Developed critical daily deposit balance reporting, produced automatically at 5 AM daily and relied on by top executives, regulators, and rating agencies to monitor deposit portfolio during economic period with considerable deposit flow pressure• Automated key performance reports updates to eliminate manual input, increasing availability from 10 AM to 5 AM for daily report and from Monday to Sunday for weekly reports• Automated report distribution using various channels, including email, SharePoint upload and text message to enable faster access to team• Created efficient database processes that updated automatically by importing data files, parsing and aggregating, providing timely databases for finance team with data not available elsewhere• Developed regression model to predict monthly ending balances for key products to enable more accurate baseline forecasting and variance analysis

May 2008 - Sep 2008

Senior Financial Analyst

New York, Ny, Us

• Conducted reporting and analysis on a $140 B Retail Deposit portfolio used to support deposit pricing, promotional actions, and new product launches• Served as point person for monthly forecasting process and yearly planning process for 3 lines of business and over 15 products including providing instructions on submission, created upload template to consolidate and upload data to reduce turnaround time, and providing quality control over data integrity• Reconciled and documented data differences between various reporting systems to address discrepancies and reduce confusion and increase transparency• Validated data and developed reporting and tracking to assist with Commercial Capital Bank acquisition, involving data from several disparate sources• Developed reporting and analytical tools and enhanced modeling while assisting with internal transition for Noninterest Income function• Managed Moody’s Economy.com forecasting model to provide deposit growth market outlook for annual plan and 5 year long range forecast, which improved high-level forecast accuracy

Jun 2005 - May 2008

Customer Service Representative/Maintenance Technician

West Seattle Bowl

• Interacted with customers, cashiered, answered phone, cleaned, assisted bar staff.• Conducted various forms of maintenance inside and outside building independently.• Operated machine used to clean, dust and oil lanes; filled machine when necessary.• Repaired broken bowling machines and wrote reports about problems.• Reorganized rental shoes into a coherent system. Designed a chart showing locations.• Implemented a system for storing old pull tab games until disposal was needed.• Upgraded locker rental system to a computerized version and enforced collection of fees.• Reorganized candy machine to increase visual appeal. Ordered/stocked candy.

Jun 1997 - May 2005
3 education records

Brian M. education

Bs, Applied/Computational Math Sciences

University Of Washington

Associate Of Arts

South Seattle College

Education record

Chief Sealth
FAQ

Frequently asked questions about Brian M.

Quick answers generated from the profile data available on this page.

What company does Brian M. work for?

Brian M. works for Amazon Web Services (AWS).

What is Brian M.'s role at Amazon Web Services (AWS)?

Brian M. is listed as Senior Data Engineer at Amazon Web Services (AWS).

What is Brian M.'s email address?

AeroLeads has found 2 work email signals at @amazon.com for Brian M. at Amazon Web Services (AWS).

What is Brian M.'s phone number?

AeroLeads has found 1 phone signal(s) with area code 206 for Brian M. at Amazon Web Services (AWS).

Where is Brian M. based?

Brian M. is based in Seattle, Washington, United States while working with Amazon Web Services (AWS).

What companies has Brian M. worked for?

Brian M. has worked for Amazon Web Services (Aws), Westwood 2 Owner'S Association, West Seattle Bowl, Intellectual Ventures, and Jpmorgan Chase.

How can I contact Brian M.?

You can use AeroLeads to view verified contact signals for Brian M. at Amazon Web Services (AWS), including work email, phone, and LinkedIn data when available.

What schools did Brian M. attend?

Brian M. holds Bs, Applied/Computational Math Sciences from University Of Washington.

What skills is Brian M. known for?

Brian M. is listed with skills including Financial Analysis, Forecasting, Access, Financial Modeling, Analytics, Process Improvement, Finance, and Microsoft Excel.

Find 750M verified contacts

Search by job title, company, industry, location, and seniority. Export verified B2B contact data when you need it.