Hello, I'm

Mohammad Arham

Python Backend Engineer 路 Data Engineering 路 Cloud & DevOps

I build secure APIs, cloud-native backend systems, and data pipelines that improve latency, reliability, and business visibility.

60% DB shrink via S3 migration 15-minute analytics freshness sub-50ms p95 FastAPI responses
Mohammad Arham
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Professional Summary

About Me

Experience

1.5+ Years

Impact

60% DB Reduction

Data Freshness

15-min Interval

Results-driven Python Backend Engineer with 1.5+ years of experience designing scalable backend systems, high-performance REST APIs, and automated data platforms. My work spans Flask, FastAPI, PostgreSQL, Apache Airflow, Odoo, and AWS services such as EC2, S3, Athena, Redshift, Lambda, and Secrets Manager. I focus on backend reliability, API security, cloud delivery, and turning operational problems into measurable engineering wins.

Contact Me
Measured Outcomes

Impact Snapshot

60%

Database Footprint Reduced

Migrated binary storage from PostgreSQL to AWS S3 to cut database size and improve backup efficiency.

15 min

Pipeline Freshness

Re-architected batch workflows into incremental Airflow pipelines for executive BI dashboards.

<50ms

FastAPI p95 Response

Tuned indexed query paths, schema validation, and async request flow for analytics APIs.

55%

Observability Improvement

Added Airflow callbacks, SNS alerts, and more visible pipeline status for quicker incident response.

Technical Skills

My Stack

Backend, APIs & Data

Python / SQL

Advanced

Flask / FastAPI / DRF

Advanced

PostgreSQL / MySQL / Redshift

Advanced

Airflow / ETL / AWS Glue

Advanced

JWT / OAuth 2.0 / RBAC

Advanced

System Design / Microservices / Async APIs

Advanced

Cloud, DevOps & Tools

AWS (EC2, S3, Lambda, Athena)

Advanced

Docker / Jenkins / CI-CD

Advanced

Nginx / Certbot / HTTPS

Advanced

Git / GitHub / Linux

Advanced

Odoo ORM / ERP Customization / Integrations

Advanced

Postman / Swagger / OpenAPI

Advanced
Work Experience

Binary Semantics Ltd

Backend APIs &
Security

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Associate Software Developer

Aug 2024 - Present | Gurugram, India

  • Designed and deployed scalable Flask and FastAPI services with PostgreSQL for analytics and business workflows.

  • Implemented JWT auth, RBAC, OAuth 2.0, and route-wise rate limiting.

  • Built clean REST endpoints consumed by analytics platforms and internal business applications.

  • Focused on API security, maintainable service contracts, and production-grade backend reliability.

  • Integrated Rasa NLU chatbot via REST webhooks for faster support resolution.

Data Pipelines &
Analytics

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Pipeline Architecture

Python, Airflow, Athena, Redshift, PostgreSQL

  • Architected a config-driven, incremental ETL pipeline using Python and Apache Airflow.

  • Reduced data latency from daily batch loads to near real-time 15-minute intervals.

  • Replicated Odoo PostgreSQL data to Amazon Athena and Redshift for BI dashboards.

  • Automated database dump workflows and failure alerts with Airflow callbacks and AWS SNS.

  • Improved pipeline observability and reduced manual monitoring effort across recurring data jobs.

Cloud, Infra &
CI/CD

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Infrastructure & Delivery

AWS, Docker, Jenkins, Nginx, Certbot

  • Migrated binary file storage from PostgreSQL to AWS S3, shrinking database size by ~60%.

  • Containerized all backend services with Docker and built Jenkins CI/CD pipelines.

  • Deployed all services on EC2 behind Nginx with SSL via Certbot and custom domain routing.

  • Managed secrets through AWS Secrets Manager and supported reliable production deployments.

  • Worked across cloud delivery, CI/CD automation, and operational optimization instead of treating infra as an afterthought.

Projects

Featured Work

All API Data Cloud

FastAPI Microservice - Real-Time Analytics

FastAPI 路 Pydantic v2 路 PostgreSQL

Async analytics API built for low-latency dashboard traffic and production deployment on AWS.

FastAPI Microservice - Real-Time Analytics

Async FastAPI service built for high-throughput analytics APIs.

  • Stack: FastAPI, Async Python, Pydantic v2, PostgreSQL.

  • Delivered sub-50ms p95 API response times.

  • Optimized query plans, connection pooling, and index strategy for dashboard traffic.

  • Deployed behind Nginx on EC2 with Docker, HTTPS, and health-check endpoints.

  • Used strict schema validation with Pydantic v2 to keep API contracts predictable and maintainable.

  • Reduced average database query time by roughly 40% through selective indexing and query-plan analysis.

Flask JWT Task Management API

Flask 路 JWT 路 OAuth 2.0 路 Docker

Production-ready task API focused on auth hardening, clean validation, and maintainable endpoint design.

Flask JWT Task Management API

Production-ready REST API with secure authentication and authorization.

  • Stack: Flask, Flask-RESTful, JWT, OAuth 2.0, PostgreSQL, Docker.

  • Implemented JWT token lifecycle, RBAC, and rate limiting.

  • Added structured validation, centralized error handling, and Swagger/OpenAPI documentation.

  • Designed for secure multi-role access and production-friendly API maintainability.

  • Implemented refresh-token rotation and endpoint-level permission controls for stronger session security.

  • Containerized the service with Docker to support reproducible local development and deployment workflows.

PostgreSQL to Redshift ETL Pipeline

Airflow 路 Athena 路 Redshift 路 Incremental Sync

Config-driven pipeline framework for incremental sync, backfills, alerting, and warehouse delivery.

PostgreSQL to Redshift ETL Pipeline

Config-driven Airflow pipeline for analytics-grade data movement.

  • Stack: Airflow, Athena, Redshift, PostgreSQL, AWS SNS.

  • Implemented incremental sync and backfill workflows.

  • Improved freshness from daily batches to 15-minute intervals.

  • Added alert callbacks and schema-aware configuration for smoother operations.

  • Designed the framework around modular configuration so new tables and sync rules could be added without DAG rewrites.

  • Served as the primary data source pattern for internal BI dashboards and analytics reporting.

Flask Analytics Dashboard Backend

Flask 路 PostgreSQL 路 Role-Based APIs

Backend service layer for dashboards, filtered reports, and metrics-heavy internal analytics workflows.

Flask Analytics Dashboard Backend

Backend API layer for dashboard metrics, charts, and filtered reports.

  • Stack: Flask, Python, PostgreSQL.

  • Built role-based endpoints and optimized query routes.

  • Integrated with real-time business dashboards and analytics consumers.

  • Focused on filtered reporting, clean response contracts, and performance-oriented queries.

  • Structured endpoints around dashboard use-cases such as metrics, chart feeds, and parameterized reporting queries.

  • Emphasized maintainable backend layering so analytics features could be extended without API regressions.

S3 Migration & Database Optimization

PostgreSQL to S3 路 60% DB Shrink

Storage migration initiative that reduced database weight and improved core application performance.

S3 Migration & Database Optimization

Infrastructure optimization by offloading binary storage.

  • Migrated file/blob storage from PostgreSQL to AWS S3.

  • Reduced core DB size by around 60%.

  • Improved query performance, backup efficiency, and operational maintainability.

  • Delivered a cleaner separation between relational data and object storage responsibilities.

  • Reduced pressure on the primary database by moving non-relational binary storage to the right infrastructure layer.

  • Improved long-term scalability by aligning storage design with backend access patterns and operational costs.

Odoo ERP + KYC + FASTag Integrations

Odoo ORM 路 ULIP/PAN/DL 路 Google Maps

Business workflow automation combining ERP customization with compliance and real-time tracking integrations.

Odoo ERP + KYC + FASTag Integrations

ERP customization and third-party integration for operations workflows.

  • Customized Odoo modules and APIs for business operations.

  • Integrated ULIP, PAN, and DL verification services for compliance.

  • Built Google Maps-based FASTag vehicle tracking workflows.

  • Reduced manual intervention across operations-heavy business processes.

  • Used Odoo ORM extensions and custom APIs to bridge ERP workflows with third-party compliance services.

  • Improved operational visibility by connecting logistics workflows with real-time tracking and KYC verification flows.

How I Build

Engineering Focus

Secure API Design

I design backend services with JWT auth, OAuth 2.0, RBAC, rate limiting, clean validation, and explicit error contracts so APIs remain secure and easy to consume.

  • Flask and FastAPI service design
  • Token lifecycle and permission control
  • Swagger/OpenAPI-ready endpoints

Data Pipelines That Operate Cleanly

I build ETL and ELT systems that support incremental sync, backfills, alerting, and analytics warehouse delivery without constant manual intervention.

  • Airflow DAG orchestration and scheduling
  • Athena, Redshift, and PostgreSQL movement
  • SNS alerts and observable pipeline states

Cloud Delivery With Operational Discipline

I treat deployment and infrastructure as part of the product, using Docker, Jenkins, Nginx, SSL, and AWS services to ship backend systems with reliability in mind.

  • EC2 deployment, HTTPS, and routing
  • Containerized services and CI/CD pipelines
  • Secrets handling and production readiness
Education & Foundations

Academic Snapshot

Jamia Hamdard University

B.Tech in Computer Science and Engineering
2020 - 2024 | New Delhi, India
CGPA: 8.19 / 10.0

Relevant Coursework

Data Structures & Algorithms, Database Management, Operating Systems, Software Engineering, Computer Networks.

Get in touch

Contact Me

Talk to me

Email

mohdarham94@gmail.com Write Me

Whatsapp

+91 9557385029 Message Me

LinkedIn

Mohammad Arham Connect

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