Pradip Dharam

Backend Engineer

Pune, Maharashtra, India15 yrs 4 mos experience
Most Likely To SwitchAI Enabled

Key Highlights

  • 14+ years of experience in backend engineering.
  • Expert in designing scalable microservices and APIs.
  • Proven track record in AI and ML integration.
Stackforce AI infers this person is a Backend Engineer specializing in FinTech and AI platforms.

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Skills

Core Skills

Backend & ApisMicroservicesData & Ml IntegrationData Engineering

Other Skills

Python (Programming Language)GitCode RefactoringSoftware DevelopmentCode ReviewAgile Application DevelopmentLow-Level DesignPythonFastAPISQLAlchemyPydanticMongoDBOpenTelemetryMachine LearningNLP

About

[Views posted on internet are my own, not my employer’s. Sharing ideas to engage with others, broaden perspectives and build long-term career resilience] Senior Backend Engineer with 14+ years of experience designing and building scalable, API-driven systems in banking and enterprise environments. Currently working on Python-based microservices powering AI/NLP-driven document processing platforms handling 20K+ documents monthly across global tenants. Experienced in API contract design, schema validation (Pydantic), ORM modeling, MongoDB/PostgreSQL optimization, observability integration (OpenTelemetry), and production-grade system refactoring. Previously designed rule-based anomaly detection systems reducing month-end financial processing effort from 900+ hours to 200 hours, and built ML-backed backend services for prediction and recommendation engines. Strong focus on: - Scalable backend architecture - Microservices & containerized deployments - Reliability & observability - Clean code (SOLID principles) - Test coverage & PR review culture - Cross-team technical collaboration I enjoy building maintainable systems that balance business velocity with long-term architectural clarity. Skills - Backend & APIs - Python, FastAPI, SQLAlchemy, Pydantic, REST API, Contract Design Databases - PostgreSQL, MongoDB, Query Optimization, Teradata Architecture & Platforms - Microservices, OpenShift, Docker, Airflow, Observability (OpenTelemetry), CI/CD Data & ML Integration - ML-backed backend services, NLP pipelines, Feature engineering

Experience

15 yrs 4 mos
Total Experience
3 yrs
Average Tenure
6 yrs 1 mo
Current Experience

Top global bank (name withheld)

Senior Backend Engineer

May 2020Present · 6 yrs 1 mo · Hybrid

  • Design and development of Python-based microservices powering AI-driven financial document processing and risk platforms.
  • Key Contributions:
  • Refactored and standardized API contracts across multiple services using Flask/FastAPI, SQLAlchemy, and Pydantic.
  • Enhanced MongoDB ingestion throughput using bulk operations and schema optimization.
  • Designed JSON schema-driven document extraction workflows (PDF/ZIP ingestion → validation → downstream XML generation).
  • Contributed to a 20+ microservice ecosystem containerized on OpenShift.
  • Integrated OpenTelemetry for tracing, logs, and metrics across 5 services (20+ APIs), improving production observability.
  • Ensured 80%+ unit test coverage; conducted PR reviews and dependency upgrade validation.
  • Automated financial anomaly detection workflows reducing operational effort by 700+ hours monthly.
  • Collaborated with product architecture teams and participated in hiring decisions.
Python (Programming Language)GitCode RefactoringSoftware DevelopmentCode ReviewAgile Application Development+3

Tech mahindra

Tech Lead – ML Systems

Sep 2016May 2020 · 3 yrs 8 mos · Pune

  • Order Fallout Prediction Engine
  • Designed ML-backed system predicting 25 task failure categories.
  • Reduced feature space from 300 → 56–96 using feature importance analysis.
  • Presented bias & confusion metrics to senior scientists.
  • Failure Category & Recommendation Engine
  • Built NLP-based system recommending top 5 resolution patterns using TF-IDF & clustering.
  • Productionized batch prediction pipelines to HDFS/Oracle.
  • Data Engineering
  • Built ETL pipelines generating broadband operational metrics.
  • Designed data enrichment & delta processing frameworks.
Python (Programming Language)Machine LearningData EngineeringData & ML Integration

Yash technologies

Senior Software Engineer – Data Platform Engineering

Dec 2014Sep 2016 · 1 yr 9 mos · Pune/Pimpri-Chinchwad Area

  • Contributed to enterprise data warehouse engineering initiatives supporting multi-source ingestion and large-scale analytical processing.
  • Designed and optimized ETL workflows loading DB2 and flat-file sources into centralized warehouse systems.
  • Implemented Slowly Changing Dimensions (Type II) and parameterized execution frameworks for scalable pipeline runs.
  • Built Unix-based orchestration scripts for workflow automation and reliability.
  • Mentored junior engineers and contributed to data modeling discussions with business stakeholders.
  • Tech: Informatica, DB2, Unix Scripting, SQL
InformaticaETLShell ScriptingData Engineering

Tata consultancy services

Systems Engineer - Data & ETL Platforms

Jun 2013Dec 2014 · 1 yr 6 mos · Pune

  • Worked on enterprise ETL framework design and deployment for subject-area-driven data warehouse systems.
  • Developed reusable ETL workflows and Unix-driven execution frameworks.
  • Supported production stability through troubleshooting and performance tuning.
  • Created technical documentation and unit test artifacts ensuring reliable deployments.
  • Tech: Informatica, Unix, SQL
InformaticaETLShell ScriptingData Engineering

Cognizant

Programmer Analyst - Data Warehouse Engineering

Feb 2011Jun 2013 · 2 yrs 4 mos · Pune

  • Contributed to the Divisional Data Warehouse (DDW) initiative consolidating multi-source enterprise data into Teradata-based analytical platforms.
  • Built and maintained ETL pipelines integrating Oracle and flat-file sources into centralized warehouse systems.
  • Developed ingestion workflows across multiple subject areas to support enterprise reporting and analytics.
  • Automated batch execution using Unix shell scripting.
  • Supported testing, documentation, and deployment reliability.
  • Tech: Informatica, Teradata, Unix Scripting, SQL
InformaticaETLShell ScriptingData Engineering

Tata consultancy services

Innovation Project Intern

Jan 2010Oct 2010 · 9 mos · Pune

  • Worked in Innovation Laboratory of TCS on Data Migration project to transform the raw data sets to data sets which Maximo can understand. Maximo is product of IBM for Enterprise Asset Management.
Data Wrangling

Education

University of Pune

Masters of Science (M.Sc.) — Computer Science

Jan 2010Present

University of Pune

Bachelor of Science (B.Sc.) — Computer Science

Jan 2008Present

Big Data Masters Program by TendyTech Insights (trendytech.in)

Masters Program — Big Data Engineering

Applied Artificial Intelligence (www.appliedaicourse.com)

Applied Machine Learning Course

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