Aditya Prakash Singh
Pune,MH
Summary
Results-driven Data Engineer with expertise in Python, SQL, and Docker, delivering scalable, secure, and automated cloud-native systems. Experienced in building enterprise-grade ETL pipelines, CI/CD workflows, and aligning with SaaS business models. Committed to businessfocused engineering, agile execution, and high-quality outcomes.
Overview
3
3
years of professional experience
5
5
Certification
Work History
Software Engineer
Amdocs Development Pvt. Ltd.
Pune
09.2022 - Current
Project - Three UK.
●Designed and maintained high-volume ETL pipelines for subscription billing and financial data reconciliation using SQL, Shell scripting, and automation frameworks.
● Automated billing batch jobs and journal entries using One Click Billing (OCB) systems improve billing accuracy and reduce processing time by 70%.
● Developed SQL-based logic to track and resolve journal mismatches, achieving a 95% reduction in revenue discrepancies.
● Built Power BI dashboards and reports to visualize payment statistics, financial transactions to visualize and obtain a graph of daily payment trends via SQL.
● Automated infrastructure provisioning using CloudFormation, AWS.
●Authored impact analyses for CRs (Change Requests) using SQL to assess downstream effects and data integrity on Jira.
● Supported credit and collections data workflows, classified customer eligibility, and improved customer segmentation, which helps after the transformation from 1.5 million to 7 million data gathered easily.
● Collaborated with L3 support and product solution teams to identify and resolve the root causes of data leakage, and improve the robustness of financial data flows with 40% reducing rate.
Graduate Engineer Trainee
British Telecom
Gurgaon
01.2022 - 07.2022
Project - Unilever
● Monitored and troubleshoot infrastructure and systems in Linux environments, solving performance bottlenecks and escalating fewer tickets.
● Supported product analytics and log monitoring for system health and access controls, improving visibility and compliance.
● Developed and implemented backup and disaster recovery plans.
● Ensured compliance with security policies and industry standards.
Education
Bachelor of Engineering - Computer Science Engineering
Chandigarh University
07.2022
Skills
● Engineering tools: Git, Terraform, GitLab CI/CD, AWS Glue, Redshift, Jira, Postman
● Containerization: Docker, Kubernetes
● Monitoring: Cloud Watch, Cloud Trail
● Database: SQL Server, MongoDB
● Cloud platforms: AWS (S3, EC2, Lambda, Glue, Redshift, Step Functions)
● Scripting: Python, Shell, SQL
● API: REST API, PySpark
Certification
- Building Modern Python Applications on AWS (Coursera)
- Managing Big Data with MySQL (Coursera)
- Industrial IoT on Google Cloud (Coursera)
- Introduction to Data Science in Python (Coursera)
- R Programming (Coursera)
Projects
Project 1: Event-Driven E-Commerce Order Processing (S3 Ingestion, Step Functions, Batch with Glue + Redshift)
- Ingested raw order data directly into Amazon S3, triggering downstream processing via Step Functions and Lambda
- Used Amazon SQS to decouple ingestion from processing, ensuring message durability and scalable handling of high order volumes
- Stored processed data in S3, and automated daily ETL with AWS Glue to transform and aggregate order and inventory data
- Loaded cleansed data into Amazon Redshift for financial reporting and business analytics
- Monitored pipeline performance and job execution using Amazon CloudWatch logs and metrics
- Automated infrastructure and deployments using Terraform, Docker, and GitLab CI/CD pipelines
Project 2: Real-Time Ride Sharing Analytics System (Stream Processing with Kinesis, Lambda, Glue, Redshift)
- Built a real-time data ingestion pipeline using Kinesis Data Streams, processing 10K+ events per minute
- Developed Lambda-based stream processors to clean and enrich trip data before storing it in S3 and Redshift
- Used AWS Glue and Redshift Spectrum for schema inference and querying structured data
- Implemented logging and observability using CloudWatch to monitor stream processing and data flow
- Integrated the pipeline with CI/CD automation using GitLab and Docker for Lambda deployment
Accomplishments
Certificate of Recognition (by Engineering service lead) - Recognized for outstanding contributions to the production billing module, completing all dev tasks on time with strong proficiency in data engineering including deployment, development, optimization.
Languages
Hindi
First Language
English
Advanced (C1)
C1
Timeline
Software Engineer
Amdocs Development Pvt. Ltd.
09.2022 - Current
Graduate Engineer Trainee
British Telecom
01.2022 - 07.2022
Bachelor of Engineering - Computer Science Engineering
Chandigarh University
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