Pallaav Sethi — Data Engineer

🚀 Data Engineer | Cloud & Big Data Enthusiast | AWS | Snowflake | SQL I am a Data Engineer with 4+ years of experience in designing and optimizing scalable data pipelines, ETL workflows, and big data solutions. My expertise lies in AWS (Lambda, S3, Glue, Redshift), Snowflake, Apache Spark, and SQL, enabling me to build high-performance, cost-efficient data architectures that drive business insights and operational efficiency. 🔹 Key Strengths & Expertise: ✅ Data Pipeline Development – Designed & optimized ETL/ELT workflows to improve processing speeds by 60% ✅ Cloud Data Engineering – Built and deployed serverless & cloud-based data architectures using AWS & Snowflake ✅ Big Data & Analytics – Engineered data platforms supporting millions of records using Spark, Kafka & SQL ✅ Cost Optimization – Implemented cost-monitoring solutions reducing cloud spend by 20% ✅ AI & Automation – Developed AI-powered solutions that improved operational efficiency by 15%+ MoM 🌟 Professional Highlights: 📌 At Piramal Finance, I optimized Credit & Bureau DataMarts, integrating 10+ data sources and reducing data processing time by 60%. 📌 Spearheaded a data governance framework ensuring data integrity, security, and compliance, reducing errors by 35%. 📌 Led the development of ARYA, an AI-powered sales assistant, which boosted sales productivity by 13-15% MoM. 📌 Developed an in-house Data Analytics Platform at Toyota Connected, enhancing data access speed by 3x. 🌍 Passionate About: I love solving complex data challenges, automating workflows, and optimizing cloud-based architectures. I'm always exploring emerging technologies in data engineering, machine learning, and AI-driven analytics. 🚀 Let's Connect! I am always eager to collaborate on data-driven projects, cloud optimization, and AI-powered analytics solutions. If you're looking for a data enthusiast who thrives on efficiency, innovation, and impact, let’s connect!

Stackforce AI infers this person is a Data Engineer specializing in Fintech and Cloud Data Engineering.

Location: Pune, Maharashtra, India

Experience: 4 yrs 11 mos

Skills

Data Engineering
Cloud Data Engineering
Data Governance
Ai & Automation
Risk Management

Career Highlights

Optimized data processing time by 60% at Piramal Finance.
Developed AI solutions boosting sales productivity by 13-15% MoM.
Enhanced data access speed by 3x at Toyota Connected.

Work Experience

Piramal Finance

Data Engineer (3 yrs 11 mos)

TOYOTA Connected

Software Development Engineer (8 mos)

EY

Associate Risk Consultant (4 mos)

Education

Bachelor of Technology - BTech at SRM IST Chennai

Intermediate at G.N. National Puclic School

Pallaav Sethi

Data Engineer

Pune, Maharashtra, India4 yrs 11 mos experience

Most Likely To SwitchAI ML Practitioner

Key Highlights

Optimized data processing time by 60% at Piramal Finance.
Developed AI solutions boosting sales productivity by 13-15% MoM.
Enhanced data access speed by 3x at Toyota Connected.

Stackforce AI infers this person is a Data Engineer specializing in Fintech and Cloud Data Engineering.

Contact

pallaav.sethi@gmail.com LinkedIn

Skills

Core Skills

Data EngineeringCloud Data EngineeringData GovernanceAi & AutomationRisk Management

Other Skills

AIAPI GatewayAWS DynamoDBAWS GlueAgile MethodologiesAirflowAlteryxAmazon Web Services (AWS)Analytical ReasoningAnalytical SkillsApache AirflowApache KafkaApache SparkAutomationBig Data

About

Experience

4 yrs 11 mos

Total Experience

1 yr 7 mos

Average Tenure

3 yrs 11 mos

Current Experience

Piramal finance

Data Engineer

Jul 2022 – Present · 3 yrs 11 mos · Bengaluru, Karnataka, India · On-site

● Optimized Credit DataMarts & Bureau DataMart by integrating 10+ data sources, reducing processing time by 60% using Python & Snowflake SQL.
● Built a Data Governance Framework ensuring data quality, validation, and compliance using AWS Glue & CI/CD pipelines, reducing data errors by 35%.
● Automated the end-to-end Credit Scrub Process, improving efficiency and accuracy by 40% through advanced data validation techniques.
● Led cost optimization for AWS & Snowflake, reducing cloud expenses by 20% by designing a cost-monitoring infrastructure.
● Developed ARYA, an AI-powered sales assistant, increasing frontline sales performance by 13-15% month-over-month (MoM) and improving incentive payouts by 9%.
● Designed a Nudge Pipeline, boosting agent productivity by 21-24% through behavioral insights & automation.
● Architected a Data Platform for UCL, supporting car and two-wheeler loan data processing at scale.

PythonSnowflake SQLAWS GlueCI/CD pipelinesData GovernanceCost Optimization+2

Toyota connected

Software Development Engineer

Nov 2021 – Jul 2022 · 8 mos · India · Remote

● Developed OneApp, a smart car application, integrating user telematics and real-time data analytics to improve user engagement.
● Designed an In-House Data Analytics Platform leveraging AWS DynamoDB, Lambda, API Gateway, and JavaScript-based REST APIs, enhancing data access speed by 3x.
● Optimized data architecture, reducing latency by 80% through improved payload processing strategies.
● Proposed and implemented innovations in customer vehicle performance (VP) data analysis, improving insights and service quality.

AWS DynamoDBLambdaAPI GatewayJavaScriptData ArchitectureCloud Data Engineering

Ey

Associate Risk Consultant

Jun 2021 – Oct 2021 · 4 mos · Bengaluru, Karnataka, India · Remote

● Conducted IT Audits for leading US and Canadian financial institutions, improving technology compliance by 20%.
● Automated risk assessment processes for top banks & IT service providers, reducing audit time by 30% using RPA.
● Managed front-end stakeholder interactions to align cross-business IT control measures with audit requirements.

IT AuditsRPAStakeholder ManagementRisk Management