Gaznavie Ahad

Data Engineer

Chennai, Tamil Nadu, India1 yr 9 mos experience

AI EnabledAI ML Practitioner

Key Highlights

Expert in building scalable ETL pipelines.
Proficient in AWS services for data processing.
Strong background in data quality and reliability.

Stackforce AI infers this person is a Data Engineer specializing in ETL and cloud data infrastructure.

Contact

Skills

Core Skills

Data EngineeringEtlSocial Media Management

Other Skills

ETL pipelinesSnowflakeAWSdbtPythonSocial MediaNetworkingPrompt generationMathematicsData LabelingPipelinesAmazon Web Services (AWS)ApacheCold CallingCold email

About

Data Engineer with hands-on experience building ETL pipelines, cloud data infrastructure, and analytics-ready data models. I've worked across the full data stack - from ingesting raw data via APIs and cloud storage, to transforming it with dbt and Python, to delivering it into Snowflake warehouses that power real business decisions. At PwC, I built and maintained production ETL pipelines, deployed 30+ dbt models with automated quality tests, and worked with AWS services (S3, Glue, Lambda) to support scalable data processing. I'm comfortable working independently and asynchronously, documenting data flows clearly and resolving pipeline issues end to end. My background also includes building data preprocessing pipelines for sensor datasets in an autonomous vehicle research environment at MulticoreWare, where I worked on high-volume data ingestion, validation, and annotation tooling. I enjoy working on problems where data quality and pipeline reliability actually matter - and I'm always looking to work with teams building meaningful data infrastructure. Open to data engineering, analytics engineering, and ETL development opportunities.

Experience

1 yr 9 mos

Total Experience

1 yr

Average Tenure

Current Experience

Outlier

Ai Trainer

Feb 2025 – Mar 2025 · 1 mo · Remote

Prompt generationMathematics

Pwc acceleration center india

Data Engineer

Jan 2025 – Dec 2025 · 11 mos · On-site

Worked as a Data Engineer on cloud data infrastructure and ETL pipeline projects, collaborating asynchronously with cross-functional teams to deliver production-grade data solutions.
1.Designed and maintained end-to-end ETL pipelines ingesting data from multiple source systems into a Snowflake data warehouse, reducing data latency by 35%
2.Built and deployed dbt data models across 30+ models with automated quality tests and full documentation
3.Developed Python-based pipeline orchestration scripts for incremental data loads with schema change handling and failure recovery
4.Integrated data from REST APIs and AWS S3 into centralized warehouse using parameterized SQL and Python
5.Resolved pipeline failures and performance bottlenecks, cutting incident resolution time by 40%
6.Documented data flows, pipeline architectures, and lineage diagrams to support team collaboration and faster debugging
7.Leveraged AWS services (Glue, Lambda, S3) for scalable batch and near-real-time data processing.

ETL pipelinesSnowflakeAWSdbtPythonData Engineering+1

Cybernerds kare

Social Media Lead

Feb 2024 – Apr 2025 · 1 yr 2 mos

As the Social Media Lead at CYBERNERDS Kare, I'm dedicated to nurturing our cybersecurity community by crafting engaging content, executing strategic campaigns, and fostering collaboration. Together, we're amplifying awareness and advancing our mission.

Social MediaNetworkingSocial Media Management

Multicoreware inc

Research Intern (Sensor Fusion)

Jan 2024 – Jan 2025 · 1 yr

I am contributing to the autonomous vehicle industry by developing and optimizing cutting-edge data processing pipelines, deploying them on edge devices like the TDA4VM, enabling vehicles to perceive and navigate their environment with intelligence and safety.

PythonData LabelingData Engineering