Prem Nagdeo

Software Engineer

Mumbai, Maharashtra, India4 yrs 9 mos experience

Most Likely To Switch

Key Highlights

Over 10 years of IT support experience.
Expertise in Full Stack and Data Engineering.
Proven track record in cloud migration and cost reduction.

Stackforce AI infers this person is a Full Stack Software Engineer with strong expertise in Data Engineering and Cloud Solutions.

Contact

premnagdeo@gmail.com LinkedIn

Skills

Core Skills

PythonWeb ScrapingJavaGoogle Cloud Platform (gcp)

Other Skills

AWSAgile MethodologiesAngularApache Beam (Dataflow)BackendBashBigQueryC++CSSCascading Style Sheets (CSS)ClarityCommunicationComposer (Airflow)DataprocDeep Learning

About

"Programming isn't about what you know, it's about what you can figure out." - Chris Pine Software Engineer II at AlphaSense with an interest in Software Development, Data Engineering, Big Data and Cybersecurity. I have 10+ years of expertise working as IT support resolving the technology related queries put up by my friends and family. Whether it be a hardware based problem or a software based problem, I never gave up until I found the perfect solution. Converting this experience into my professional life has turned me into a highly motivated employee with a goal-driven work ethic. Professionally I'm working on anything and everything - ranging from Full Stack Development to Data Engineering to Cloud Development to Big Data Warehousing. I spend most of my day in front of my laptop either coding or learning how to code. I truly love digging into technical issues and finding solutions for them. To me, Software Engineering is a never-ending puzzle that my OCD driven mind is thoroughly engaged in trying to solve. Feel free to reach out and connect!

Experience

Alphasense

Software Engineer II

May 2024 – Present · 1 yr 10 mos · India

Created a generic web scraper to parse and extract events data from multiple websites using heuristics for information extraction.
Integrated multiple web page parsing algorithms for extraction of unstructured, semi-structured and structured data.
Built a Proof of Concept Retrieval Augmented Generation (RAG) Application using Large Language Models (LLMs) for information
extraction and parsing of multiple websites.
Tech Stack: Python, Web Scraping, Selenium, Flask, LLM, DynamoDB, S3, SQS, SNS, AWS, Microservices, Docker, Kubernetes.

PythonWeb ScrapingSeleniumFlaskLLMDynamoDB+7

High frequency trading

Software Engineer

Dec 2023 – May 2024 · 5 mos · Delhi, India · On-site

Name cannot be disclosed due to Non Disclosure Agreement (NDA).
Worked as a Python Software Engineer in the Data Team.

Python

Deutsche bank

Software Engineer / Data Engineer

Jul 2021 – Dec 2023 · 2 yrs 5 mos · Pune, Maharashtra, India · Hybrid

Project: Migration Of Dynamic Reports From IBM Cognos To Angular
Built RESTful APIs to calculate salesmen performance that filter/sort/paginate data in an efficient way.
Generated complex SQL queries for analysis of migrated data.
Played a pivotal role in the migration strategy from On-Premise OpenShift to Google Cloud Platform (Public Cloud), achieving a 40% reduction in infrastructure costs and improved scalability.
Tech Stack: Java, JavaScript, Spring Boot, Angular, SQL, HTML, CSS, Git, GitHub, TeamCity.
Project: Orchestration pipeline for Big Data and Data Science platform
Designed and developed an orchestration pipeline using Kubernetes for data ingest and processing of emails automating manual tasks.
Configured Composer to integrate with Cloud Functions, Cloud Run and Dataflow.
Tech Stack: Python, Kubernetes, Google Cloud Platform (GCP), Terraform, Dataproc, Bash, Linux, GitHub.
Project: Data Warehousing Platform for Private Bank Data Migration
Built Dataflow Pipelines for processing millions of records of source system data per second.
Developed automatic reconciliation using Composer DAGs for data verification against source system data.
Implemented error handling mechanisms and stringent verification checks on data, reducing data discrepancies by 95% and ensuring data integrity throughout the processing pipeline.
Tech Stack: Python, Java, Google Cloud Platform (GCP), Apache Beam (Dataflow), Composer (Airflow), BigQuery, PubSub, Terraform.