The Resume Foundry
One Markdown resume. One clean bundle.

Ship a recruiter-ready resume bundle from one Markdown file.

Start with Markdown, preview the page, and export a clean PDF, DOCX, TXT, and QA bundle without layout tricks that confuse parsers.

Build from Markdown Audit Existing Resume
Preview before export ATS-safe structure Private by default
Live sample render

See the output before you start.

This frame shows the founder sample resume rendered with the same engine used for preview and export.

Sabbir Hossain
sabbir.hossain@example.com | +1 000 000 0000 | https://linkedin.com/in/itssabbir | https://github.com/itsSabbir | https://sabbir.ca
Atlanta Metropolitan Area, GA | Open to Relocation (US/Canada) | TN Visa - No Sponsorship Required
SUMMARY
Data Engineer with production ownership of mission-critical ETL and ELT pipelines serving enterprise analytics across 4+ operational systems. Delivered 83% query performance gains on 23M+ row datasets, 130K+ historical record recovery, and observability across 12+ pipelines. Strengths include Kimball data modeling, Airflow orchestration, backend API integration, and support for cloud modernization toward GCP and BigQuery.
SKILLS
Data Engineering: Python, SQL, Apache Airflow (DAGs), Apache Spark, PySpark, Teradata, PostgreSQL, ETL/ELT, data pipelines, Kimball data modeling, schema design, SCD Type 2, data quality, observability, monitoring, data lineage, data warehousing, data integration, batch processing, orchestration
Languages And Frameworks: Python, SQL, R, C, Bash, Java, JavaScript, TypeScript, Node.js, React, Flask, REST APIs, GraphQL APIs
Cloud, Warehousing, And Streaming: Apache Kafka, Snowflake, BigQuery, Amazon Redshift, dbt, AWS (S3, EC2, RDS), GCP (BigQuery, Cloud Composer), Azure
Engineering: Docker, Kubernetes (exposure), Linux, Git, CI/CD, GitHub Actions, Terraform (concepts), microservices, Agile/Scrum, technical documentation, JIRA, Confluence, TDD
Ml And Analytics: PyTorch, TensorFlow, scikit-learn, query optimization, anomaly detection, data structures and algorithms
EXPERIENCE
Bell Canada | Toronto, ON - Remote | Full Time
Data Engineer | Jun 2025 - Present
Owned the NTS data pipeline, a resilient 3-tier ETL/ELT architecture across staging, warehouse, and analysis layers on Teradata. Integrated SmartPath REST API, Maximo ERP, IPACT billing, and LDAP directory services using Python and SAS Data Integration while enforcing data contracts and Kimball dimensional modeling across DEV, QA, and PROD.
Delivered a 78-attribute MicroStrategy analytics cube with derived metrics and cross-filter interactivity. Secured director sign-off and production deployment within 6 weeks, and reduced build risk by using a SQL view instead of a physical fact table for event-to-request duration joins.
Reduced query latency 83% from 12 minutes to 2 minutes on a 23M+ row join by replacing runtime computation with a materialized pre-aggregation layer, eliminating production timeouts and stabilizing nightly SLA compliance.
Diagnosed systemic data drift caused by a misconfigured temporal filter, executed staged historical recovery totaling 130K+ records, and fixed 22K+ employee misattributions using SCD Type 2 temporal joins. Expanded analytical coverage from 1 month to 9+ months.
Built a Python and Airflow observability framework with configuration-driven checks for schema validation, anomaly detection, and threshold alerts across 12+ data pipelines. Reduced debugging time 60% and prevented 15+ monthly data quality incidents.
Promoted to Technical Gatekeeper within 3 months. Governed defensive coding standards and peer reviews, authored validation documentation including ERDs, data flow diagrams, and count-by-stage proofs, and supported modernization planning for a GCP and BigQuery migration targeting a snowflake schema.
Built a stateful sessionization algorithm in Python using two-pass group-by propagation to resolve event sequencing defects, achieving deterministic mapping across distributed agent sessions with zero QA calculation errors.
Served as designated backup owner for the SmartPath production API during a company-wide code embargo, managing escalation readiness and resolving critical data pipeline failures for 12+ dependent systems under time pressure.
Johns Hopkins University | Baltimore, MD - Remote | Part Time
Bioinformatics Software Development Research Assistant | Sep 2022 - Present
Engineered ETL pipelines processing 750+ TB of multi-omics data on HPC clusters using Python, R, and SQL, accelerating biomarker discovery 40% and reducing analysis time 40%.
Architected and maintained an open-source full-stack platform using Python, R, JavaScript, and C with microservices patterns and Docker. Reduced analysis load times 83% and supported 100+ global researchers.
Selected as 1 of 12 Harvard NCRC plenary speakers from 5,000+ applicants and authored 35-page research manuscripts with reproducible analyses. Also received Best Oral Presentation at ABRCMS 2023 among 6,500+ attendees.
University of Toronto | Toronto, ON - Hybrid | Part Time
Software Development Research Assistant | Sep 2019 - Apr 2024
Reduced analysis effort by 30+ hours per week across 7 research teams by building full-stack platforms in Python, R, C, and Java. Cut environment setup time 50% with Docker and improved UI render times 45% in Next.js.
Led Agile/Scrum adoption and mentored 5 junior developers, owning the full SDLC from requirements through production deployment and maintenance.
PROJECTS
NYC Taxi Data Engineering Pipeline | Repo: https://github.com/itsSabbir/nyc-tax-de
Built an end-to-end batch ELT pipeline with Postgres, dbt, Airflow orchestration, and Docker. Implemented medallion architecture with bronze, silver, and gold layers, star-schema marts, and automated data quality tests.
Image Processing Pipeline Server | Repo: https://github.com/itsSabbir/ImageProcessingPipeline
Built a multi-threaded C server with POSIX threads and sockets that handled 100+ concurrent clients at under 100 ms latency, improving throughput 30% through TDD and CI/CD practices.
Anomaly Detection System | Repo: https://github.com/itsSabbir/anomaly-detection-system-2
Built a full-stack platform with Node.js, Express, React, and TypeScript that orchestrated Python ML models including YOLOv5 and LSTM, with AWS S3, RDS, and Docker deployment.
MicrobiomeExplorer R Package | Repo: https://github.com/itsSabbir/MicrobiomeExplorer
Built an open-source modular R package for metagenomic analysis integrating ETL pipelines, Bioconductor-based statistics, and interactive Shiny visualizations.
EDUCATION
University of Toronto | B.Sc. (Hons) Computer Science, Bioinformatics and Computational Biology
Toronto, ON | 2024
GPA: 3.96/4.0
Relevant coursework: Data Structures and Algorithms, Database Systems, Distributed Systems, Machine Learning, Operating Systems, Software Design, Cloud Computing
AWARDS AND PRESENTATIONS
Poster Presentation
ABRCMS | 2024
Competed among 150+ graduate-level presenters.
Plenary Speaker
Harvard NCRC | 2024
Selected as 1 of 12 speakers from 5,000+ applicants.
Undergraduate Oral Presentation
ABRCMS | 2023
Ranked as a top presenter among 80 oral presenters at an event with 6,500+ attendees.
Friends of Arts and Science Awards
University of Toronto | 2022, 2023, 2024
Recognized across Computer Sciences and Physical and Life Sciences.
PDF Send-ready export
DOCX Editable portal upload
TXT Plain-text ATS check
QA Parser-risk notes
Main flow

Follow the main path as you scroll. Branch only when the file in front of you calls for it.

Start in Create. Use Audit only if you already have a PDF or DOCX.

Already have a finished resume file? Use Audit instead.

Create path

Start here if you control the draft.

Choose a source, preview the page, and export when it looks right.

Main path Upload if you already have Markdown. Switch to Write in App if you want a local draft with a starter.

Have only a PDF or DOCX? Use Audit.

Audit path

Use this only when the file already exists.

Upload a PDF or DOCX to check extraction quality before you send it.

Fallback path If the file is weak, rebuild it in Create. If it is strong, keep it and fix only what matters.

Need to rewrite from source? Go back to Create.

FAQ

Which path should I use?

Start in Create if you have Markdown or want to draft locally. Use Audit only if you already have a PDF or DOCX.

When should I open Advanced?

Leave it closed unless the preview needs a tighter fit. Most resumes should work with the starter defaults and a preset.

What does Preview actually do?

Preview renders the current draft with the current settings so you can inspect the page before you export the bundle.