Jyothiprakash Patnaikuni

Data Engineer

Hyderabad, Telangana, India2 yrs 3 mos experience

AI EnabledAI ML Practitioner

Key Highlights

Saved Amazon $14M annually through optimization.
Achieved 300% faster ETL job runtimes.
Improved tax reconciliation accuracy to over 99%.

Stackforce AI infers this person is a Data Engineer with expertise in SaaS and Fintech.

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Skills

Core Skills

Data EngineeringEtlCloud EngineeringMachine Learning Engineering

Other Skills

AIAWS CDKAirflowAmazon RedshiftAmazon Web Services (AWS)Apache IcebergCloudWatchData AnalysisData ModelingDjangoDjango REST FrameworkEMRJavaMachine LearningPython

About

Hello, I'm Jyothi Prakash - a developer skilled in Python, Java, and AWS. I hold a strong academic background in computer science and have a passion for creating web applications. With extensive experience at Amazon, GITAM T&P, and Alcovex, I've improved tax reconciliation, optimized ETL pipelines, and saved costs with Cloud Infrastructure at Amazon. I bring expertise in Python, Java, AWS, and more to enhance your team's efficiency. Currently, I'm focused on expanding my machine learning and data visualization skills while seeking collaborative opportunities. Let's connect and explore synergies: jyothiprakashpatnaik@gmail.com.

Experience

Amazon

Data Engineer

Apr 2024 – May 2025 · 1 yr 1 mo · Hyderabad, Telangana, India · On-site

Built DST (Digital Services Tax) Data Warehouse and ETL Pipelines form 0->1
Responsibilities:
Built and scaled ETL pipelines using Apache Iceberg to onboard new marketplaces and LOBs for the DST Warehouse
Created metadata-driven ETL components to reduce onboarding time for new countries and business lines
Managed critical workflows in Airflow, ensuring reliable scheduling and smooth execution
Built QuickSight dashboards to show global revenue trends, monitor data quality, and support tax compliance
Worked with Seller Services, Accounting, and GTS teams to improve data models and design scalable solutions
Achievements:
Migrated Redshift jobs to Spark on EMR, cutting run time from 720 mins to 180 mins per job (300% faster)
Saved Amazon $14M annually by optimizing data models and ETL processing
Used data mesh architecture to remove 4TB of duplicate data, improving quality and reducing storage use

Apache IcebergAirflowQuickSightETLData ModelingAmazon Redshift+3

Tata consultancy services

System Engineer

Aug 2023 – Apr 2024 · 8 mos · Hyderabad, Telangana, India

This was my first full-time role in a corporate environment, and it played a big part in shaping how I work today. I learned how to communicate professionally, manage my time, and take responsibility for my work.

Amazon

Data Engineer

Jan 2023 – Jun 2023 · 5 mos · Hyderabad, Telangana, India · Hybrid

Intern — Improved ETL, cloud workflows, and AWS cost dashboards.
Improved indirect tax reconciliation accuracy to 99%+ by implementing the Mexico Tax Data Warehouse.
Migrated legacy ETL jobs to MXTDW and built deduplicated, decoupled data pipelines, reducing daily job runtime by 3 hours.
Built CloudWatch dashboards and alarms to monitor resource usage, leading to $27,457/month EMR savings and 60% overall AWS cost reduction.
Automated cloud infrastructure for the EMEA filing window using AWS CDK, saving 72+ admin hours/month.

AWS CDKCloudWatchETLData ModelingCloud EngineeringData Engineering

Alcovex product studio

Machine Learning Engineer Intern

Dec 2021 – Jun 2022 · 6 mos · Vishakhapatnam, Andhra Pradesh, India

Built core features for InterviewBuddy’s AI interview platform, enabling automated mock interviews and scoring. -- https://interviewbuddy.net/
Created and integrated ML models that drive real-time feedback and assessment.

Machine LearningAIPythonMachine Learning Engineering