Headline

Senior Data Engineer – Payments & Compliance @ Airbnb | Data Engineering | Data Modeling | Airflow | Spark | SQL | Building Scalable Data Pipelines

About

Data professional with experience building scalable data pipelines and analytics solutions that power business decisions. Currently working as an **Analytics Engineer in the Payments & Compliance domain at Airbnb**, where I design and maintain data pipelines that support risk, compliance, and payments analytics. My work focuses on building reliable data workflows, improving data quality, and enabling teams to derive actionable insights from complex datasets. I have hands-on experience with **Airflow, Spark, SQL, Python, and data modeling**, and I enjoy solving challenging data problems at scale. Recently, I have been involved in improving pipeline reliability, migrating legacy workflows to modern data processing frameworks, and building analytics infrastructure for KYB (Know Your Business) and payments compliance screening. Before this, I worked across analytics and data roles where I built dashboards, optimized reporting pipelines, and helped teams make data-driven decisions. I’m particularly interested in: • Data Engineering & Analytics Engineering • Scalable Data Pipelines • Payments, Risk & Compliance Analytics • Data Modeling & Workflow Orchestration Always open to connecting with people working on interesting data problems.

Location

Bengaluru

AI stack

claude code

claude

openai

Work experience

Senior Data Engineer - Payments Data & Risk at Airbnb, Mar 2025 - Present · 1 yr 7 mos, Bengaluru, Built India Payments Funnel data pipeline to analyze instrument-level conversion across large-scale datasets; optimized Spark queries to reduce runtime and memory failures, enabling faster business insights. Designed reconciled KYB metrics pipeline across LTA/non-LTA sources, Superset, and Grafana; identified automation gaps to improve auto-verification rate (~20%) and reduce manual reviews. Created AML model recall metric (Tide v4) and sampling framework, increasing model recall from 46% to 72% through data-driven threshold tuning. Validated end-to-end sanctions co-traveller screening pipeline for Experience & Service bookings, improving data accuracy, enforcement tracking, and compliance coverage. Led data infrastructure modernization by deprecating legacy tables and migrating DAGs to AE framework; resolved Spark issues and improved pipeline scalability and reliability. Settled critical Airflow DAG and Minerva failures via root cause analyzes and cross-functional collaboration. Utilized AI-assisted debugging to expedite issue resolution, ensuring uninterrupted data pipeline operations. Note: Role performed at Airbnb; payroll/employer of record is Altimetrik.

Data Engineer at Kratos Gaming Network, Jul 2024 - Mar 2025 · 9 mos, Bengaluru, Architected and deployed end-to-end data pipelines powering a payments analytics layer (Apache Superset), eliminating manual reconciliation workflows and reducing reporting latency from 5–7 hours to under 30 minutes weekly. Designed and maintained scalable data models and transformation pipelines for payment systems, improving data reliability and achieving >95% accuracy across cost centre wallet and transaction datasets. Built high-throughput, near real-time data pipelines for Web3 payment processing, enabling budget allocation and transaction monitoring at scale, and increasing system capacity by 3x without performance degradation. Led ETL pipeline redesign for social data ingestion (Twitter, Discord) by identifying upstream data gaps, implementing user-level data capture, and improving downstream data completeness—driving a 12% increase in engagement and retention metrics. Developed and optimized multi-source data ingestion pipelines (Firebase, Google Analytics) to unify event-level data for notification systems across Push, Bell, WhatsApp, and SMS channels. Implemented data quality frameworks and anomaly detection checks to identify notification delivery failures, enabling targeted interventions that improved campaign engagement by 30% and user retention by 12%. Built scalable attribution data pipelines and reporting layers for UTM-based acquisition tracking, enabling accurate channel performance measurement and contributing to a 25% increase in app downloads.

Data Science Intern at Unified Mentor Private Limited, May 2024 - Jun 2024 · 2 mos, Remote, My tenure at Unified Mentor Pvt. Ltd. underscored my commitment to leveraging data science to drive meaningful outcomes. I am eager to bring my skills in data analysis, visualization, and strategic insight to a forward-thinking organization looking to harness the power of data.

Data Engineer at Wealth Glow, Jan 2022 - Sep 2023 · 1 yr 9 mos, Bengaluru, Designed and built data pipelines and analytical workflows using Python to restructure client data processing, enabling scalable analysis and contributing to a 30% increase in annual revenue. Engineered and optimized data processing pipelines using Python and SQL, reducing report generation latency by 30% through automation and efficient query design. Developed and implemented data feedback pipelines integrating inputs from Research Analyst teams, improving data quality and driving a 25% increase in customer satisfaction scores. Designed and deployed event-driven data pipelines for email marketing systems, improving user segmentation and increasing consumer engagement by 38%. Developed data models and tracking pipelines for customer referral systems, enabling performance monitoring and contributing to 23K net new customers annually. Implemented data pipelines for customer lifecycle and payment recovery analysis, identifying dormant users and enabling targeted re-engagement strategies that increased revenue by 25%. Built and optimized analytics pipelines leveraging Google Analytics data, improving audience segmentation and increasing campaign response rates by 21%.

Data Engineer at Eprofitzone Fincap Consultant Private Limited, Apr 2018 - Jul 2021 · 3 yrs 4 mos, Bengaluru, Translated business requirements into data requirements and technical specifications, supporting the development of data pipelines and downstream systems. Performed exploratory data analysis and data validation to identify trends, data inconsistencies, and opportunities for improving data quality and pipeline outputs. Collaborated with cross-functional teams to support the development of a CRM data system, ensuring proper data flow, schema alignment, and integration with upstream sources. Maintained and documented data schemas, data definitions, and transformation logic, ensuring alignment between business requirements and technical implementations. Identified and resolved data quality issues in client datasets by implementing validation checks and improving data accuracy for downstream consumption. Supported data pipeline optimization efforts by analyzing process inefficiencies and contributing to improvements that reduced attrition by 30% through data-driven insights.

Education

Bachelor of Technology - BTech, Electrical engineering, Techno India College of Technology

Higher Secondary, science, Raniganj Marwari Sanatan Vidyalaya