Aman Parmar

Data Engineer

Gurugram, Haryana, India9 yrs 7 mos experience

Highly Stable

Key Highlights

Expert in optimizing data pipelines and architectures.
Strong foundation in AI infrastructure and governance.
Proven track record in training and mentoring teams.

Stackforce AI infers this person is a Data Engineering expert with a focus on AI and cloud infrastructure.

Contact

aman.parmar17@gmail.com LinkedIn

Skills

Core Skills

Data EngineeringData PipelinesOptimization

Other Skills

AirflowAmazon RedshiftApache AirflowApache SparkArtificial Neural NetworksAzure CloudAzure Cosmos DBAzure DatabricksAzure DevOpsAzure FunctionsBig DataCommunicationConvolutional Neural Networks (CNN)Data AnalysisData Analytics

About

Senior Data & AI Engineer | Roblox & ex-BCG I bridge the gap between Software Engineering, Database Internals, and AI Infrastructure. Currently at Roblox, I engineer the governance and observability backbone (Lineage, DQ, Telemetry) for scaled data teams and am developing internal GenAI infrastructure (Agents, RAG). Core Engineering Philosophy: Systems > Scripts. I apply DevOps rigor and Database Internals expertise to Data Engineering. My foundation at BCG—ranging from deep query optimization to infrastructure recovery—drives me to build self-healing platforms and highly optimized compute layers, rather than just managing ETL pipelines. Always open to discussing complex data engineering challenges, open-source collaborations, or high-impact opportunities—feel free to reach out.

Experience

9 yrs 7 mos

Total Experience

2 yrs 10 mos

Average Tenure

1 yr 1 mo

Current Experience

Roblox

Data Engineer

May 2025 – Present · 1 yr 1 mo · India · On-site

AirflowAmazon RedshiftPySparkSQLKubernetesData Engineering+1

Boston consulting group (bcg)

3 roles

Senior Data Engineer

Promoted

Jul 2024 – Jun 2025 · 11 mos

PySparkPython (Programming Language)Data PipelinesBig DataPostgreSQLExtract, Transform, Load (ETL)+16

Data Engineer

Promoted

Dec 2022 – Jul 2024 · 1 yr 7 mos

Fastrack promotion to a Senior Data Engineer
For one of the largest Consumer Products Manufacturer globally
Working on revamping the complete data storage solution for a multi-million dollar application, so as to make it robust, scalable, secure and fast
Leveraging Azure Cosmos for Postgres database to scale and optimize the application.
Implemented Role-Based Access Control, on database using Azure Active Directory and Database Service Principles
Optimized complex UI components and API, reducing the latency by 95%, dropping from 20s to close to 2 seconds, by decomposing large API calls, optimizing azure function app deployment, leveraging cosmos computation engine to push back-end aggregations to database using functions, stored procedures and materialized views
Currently working on fool-proofing and optimizing the deployment architecture, API and database designs for the application
Recruitment and Interviewing:
Actively contributed to the recruitment process by screening profiles and conducting interviews, demonstrating strong evaluation and selection skills.
Training and Development:
Organized and delivered training sessions on PySpark and Airflow, upskilling data analysts and fellow data engineers, fostering a culture of continuous learning.

Data PipelinesBig DataExtract, Transform, Load (ETL)Version ControlCommunicationData Modeling+9

Junior Data Engineer

Nov 2021 – Dec 2022 · 1 yr 1 mo

Fastrack promotion to a Data Engineer
For one of the Largest Public Sector Banks in India
Automated data generation and feature engineering, significantly reducing Time to Insight from 4 days per raw file to just 20 minutes.
For one of the Major Retail Chains in the USA
Designed and implemented complete end-to-end data pipeline architecture using Kubernetes (Helm) & Airflow, Databricks and H2O, ensuring smooth data orchestration and management.
Created a robust & scalable file-system and I/O management system over Databricks File System on ADLS, integrating multiple data sources & sinks, like Snowflake, BigQuery, Azure Blob Storage, etc, enhancing data integration and accessibility.
Implemented best SDLC practices like CI/CD using Azure Pipelines, ensuring efficient and reliable deployment processes.
Optimised data ingestion and processing pipelines, built in PySpark using DBFS and Snowflake as data sources, reducing the execution time by close to 90%

CommunicationObject-Oriented Programming (OOP)

Avizva

2 roles

Associate L1 - Technology

Apr 2021 – Nov 2021 · 7 mos

Associate Trainee

Oct 2020 – Apr 2021 · 6 mos

Forsk technologies

Machine Learning and Data Science Trainee

May 2019 – Jul 2019 · 2 mos

Bank of india

Business Development Intern

Dec 2018 – Jan 2019 · 1 mo

Helped BOI in analysing the closing report of fourth quarter from October,2018 to December,2018, of the branches located under the supervision of Muzaffarpur Zonal Office