JP Subbu
Python Developer
Surbiton, United Kingdom
Summary
I can help you 100% if your answer to any of the below question is "YES" :)
Quickly spin up a Python app as PoC to show case your business idea ?
Guidance in designing backend for your eco system ?
Help with migrating to or deploy and manage in Cloud (AWS and GCP)?
Need a hand with your ML problems?
Deploy and Manage trained models
Want to extract data from sources containing unstructured info ?
Get insights from a dataset ?
Transform/Normalise data?
or simply a helping hand with your on-going Python application development?
Otherwise just a drop a mail I will go through your requirement and come back to you if I can help or refer my known connection
Languages:
English
Favorite Python Packages:
pandas
numpy
scikit-learn
tensorflow
scrapy
matplotlib
nltk
spacy
twisted
sqlalchemy
flask & flask-*
requests
json
schematics
pydantic
pytest
Experience
An
experienced Python
Developer/Technical Product Owner
with a proven record of working on various large-scale assignments including Data
Processing/Analysis where my current passion is
Recent Deliverables:
As Data Consultant for a Financial Body defining standards for Financial Institutions
- Analyse, Design and Proposal of Information Architecture
- Development of Data Model based on Information Architecture
- Designed
data pipeline to
- a)
source financial critical information from variety of uncontrolled
data sources
- b)
normalise/transform them into internal data scheme
- c)
translate and confirming into data storage which further exposed
via AP
As Solution Architect/Lead Dev for a leading Media client:
- Reviewed existing business use-cases and requirements for OTT Video platform
- Designed and Delivered micro-services architecture with key modules such as content meta data ingestion, data management (publish and validation) and API access management
- Developed RESTful API services to expose ingested metadata to downstream clients (Mobile/Web Clients/Analytics)
- Built PoC to merge video metrics and content meta data for an event prediction analysis
- Used Python (Flask/ Bootstrap), AWS (EC2 and RDS), Docker, Kubernetes, Jupyter
As Lead Dev for a leading Media client:
- Repurposed
Centralised Catalogue for new business group requirement by
enhancing and building new REST
APIs
- Catalogue
publisher module to AWS
S3
bucket
- Design
of Subscription Management system by exposing subscription data via
REST APIs to upstream clients
- Design
and developed overnight batch processing for subscription renewals
by querying Cassandra
database
- Micro service integration (Subscription Management with Catalogue Services)
- Designed
and developed Canary deployment pipeline to move from Continuous
Integration
(CI) to Continuous
Deployment
(CD) by integrating Jenkins,
Prometheus, Slack bot
and Grafana
(Elastic Search APIs) and Hysterix
- Integrated
Subscription Management system with Account Janitor via
Kafka to
comply GDPR
regulation
- Migrated metadata content managed from using pull feed system to Kafka
queue based system
- AWS to in-house infrastructure (used Docker, Kubernetes, Kafka) migration
Skills
Amazon Web Services (AWS), Apache, Backend Development, Celery, Data Science, Docker, Elasticsearch, Flask, Google Cloud Platform (GCP), GraphQL, Gunicorn, Hadoop, JavaScript, Kubernetes, Linux, Machine Learning, MongoDB, Natural Language Processing, Nginx, NumPy, Pandas, PostgreSQL, RabbitMQ, SQL, SQLAlchemy, SciPy, Scrapy, Twisted, jQuery