Harikrishnan Nair
Contact details — on requestProof of Work — on request
Experience
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Data Engineer
OnlineSales.ai · Jan 2022 – Present
- Architected comprehensive data solutions bridging product, technology, and analytics teams, delivering data-driven insights that increased retailer revenue by 55% across OSMOS and Localium product lines.
- Spearheaded cross-functional teams of 3-4 members through complete project lifecycles from requirement gathering to deployment, achieving 100% data integrity and governance compliance.
- Collaborated directly with stakeholders and product teams to translate business requirements into scalable technical specifications, accelerating decision-making processes and product roadmap development.
- Designed and launched customized reporting solutions for retailers, enabling seamless data delivery to cloud platforms (GCP, AWS, SFTP), generating 25% additional revenue through productized reporting tools.
- Engineered advanced Attribution Pipeline supporting organic funnel event tracking (Orders, Add2Cart) linked to advertising events (Clicks, Impressions), and implemented dynamic attribution window configurations and multi-channel attribution types, enabling retailers to optimize advertising spend allocation across diverse marketing channels, improving retailer ROI by 8.5%.
- Orchestrated critical Redshift to BigQuery migration encompassing 85% of enterprise data warehouse infrastructure, modernizing OLAP architecture for enhanced scalability.
- Redesigned legacy data pipelines with optimized architectures, achieving 60% system performance improvement while maintaining data integrity.
- Enhanced ETL performance by 50% ensuring reliable data flow within SLAs across multiple regions for real-time dashboard analytics.
- Developed interactive dashboards and analytical reports using Metabase, Domo, Pulse(in-house tool) and custom Python scripting, expanding analytical capabilities across teams and stakeholders.
- Contributed to creation of first-ever deep-dive retail media reports for APAC advertisers, enabling targeted media strategies and expanding analytics offerings across the region
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Data Engineer
OSMOS by OnlineSales.ai · Jan 2022 – Present
- Engineered scalable ETL orchestration pipelines using GCP (Pub/Sub, Dataflow), Big-Query, Python, Java, Ruby, SQL + data modelling concepts which has reduced latency 50%, achieved 99.9% SLA compliance across multi-region streaming flows.
- Developed interactive, Analytical dashboards and reports using Bl tools (Metabase, Domo), which enhancing data accessibility and decision-making for stakeholders and analytics teams.
- Developed microservices (KAM API using Node.js) for real-time querying of Big-Query/MySQL/file datasets, powering BI dashboards for 10x faster metrics delivery.
- Created real-time reporting views from streaming tables, enabling live analytics.
- Redesigned data pipeline architecture with CI/CD integration, accelerating availability by 37%, slashing operational costs by 25%, and handling 6TB+ daily ingestion for OSMOS/Localium scalability.
- Also led a project of AWS to BigQuery migration of all data pipelines, consolidating Redshift workloads to GCP.
- Leveraged GCP Data-Proc + Hadoop for MapReduce algorithms and large-scale data processing, optimizing batch workloads for cost-efficient analytics at scale.
- Conducted daily data validation, code reviews, and end-to-end QA on ETL jobs, Node services, and Bl tools that has improved data freshness and uptime to 99.95%.
- Collaborated with architects on schema design, data governance, and fault-tolerant frameworks, enabling high-throughput analytics that drove 25% revenue uplift via optimized backend solutions.
- Defined product requirements and data strategies, aligning with business objectives by gathering and refining requirements, leading product design, and overseeing end-to-end implementation of data solutions.
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Associate Software Design Engineer
OnlineSales.ai · Feb 2020 – Jan 2022
- Delivered actionable guidance and escalated complex service issues to advanced support teams, significantly enhancing stakeholder satisfaction and service quality.
- Applied deep product expertise to efficiently troubleshoot and resolve customer issues, maintaining a high standard of customer satisfaction and retention.
- Leveraged Kibana and custom scripts to monitor and validate data streams, resulting in a 40% increase in monitoring efficiency and early detection of anomalies.
- Proficiently worked with MongoDB, MySQL, AWS Redshift, S3, Python, and various RESTful APIs to build scalable data pipelines, automate workflows, and support robust data integration across cloud and on-premise environments.
- Developed custom scripts and API integrations for real-time data ingestion, transformation, and reporting, ensuring high performance, reliability, and seamless data access for analytics and application use.
- Optimized service APIs to achieve a 10% performance improvement, consistently handling up to 100 QPS with high reliability and responsiveness.
- Demonstrated innovation and attention to detail in crafting robust technical solutions and documenting system requirements for seamless cross-team collaboration.
- Collaborated closely with the backend development team to resolve stakeholder requests, debug applications, and deliver accurate, data-driven reports within SLA timelines.
- Streamlined support processes by creating comprehensive documentation, facilitating faster onboarding and efficient issue resolution.
- Worked directly with Tech Leads to communicate root causes and implement lasting fixes.
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Associate Software Design Engineer
OSMOS by OnlineSales.ai · Feb 2020 – Dec 2021
- Engineered scalable ETL pipelines and data workflows using MongoDB, MySQL, and AWS Redshift, processing 2TB+ daily volumes to support high-throughput Bl analytics and dashboards.
- Optimized backend APIs with advanced caching, load balancing, and query tuning, helped in boosting throughput to 100+ QPS and reducing p99 latency by 10% at scale.
- Implemented real-time monitoring and validation using Kibana, custom Python/Ruby scripts, and log aggregation that helped in increasing detection efficiency by 40% and achieving 97.5% system uptime.
- Led backend debugging and optimization sprints, resolving 100+ critical bugs and performance bottlenecks, achieving 95% SLA compliance through systematic root-cause analysis.
- Collaborated closely with backend teams and stakeholders to resolve application bugs, data inconsistencies, and performance bottlenecks within SLAS
- Applied in-depth product knowledge to troubleshoot and resolve complex customer issues, improving overall service efficiency and satisfaction.
- Designed and documented robust technical solutions, improving system architecture, debugging efficiency, and maintainability.
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Product Tech Support Intern
OnlineSales.ai · Aug 2019 – Feb 2020
- Demonstrated strong expertise in system monitoring, including end-to-end monitor installation, resolution of customer requests, and ongoing system maintenance to ensure optimal performance and uptime.
- Reduced escalation issues by 30% through proactive problem-solving, effective root cause analysis, and consistent communication with internal teams and stakeholders.
- Consistently met or exceeded SLAs by delivering timely responses and solutions to service requests, contributing to high stakeholder satisfaction and operational reliability.
- Leveraged strong analytical skills to detect, diagnose, and resolve system inefficiencies, leading to more streamlined operations and measurable improvements in system performance.
- Developed and maintained efficient Python and Ruby scripts to automate monitoring tasks, extract data from multiple services and databases, and generate insightful reports for system health tracking.
- Utilized Java for debugging, performance tuning, and feature enhancements, playing a key role in optimizing system functionality and reducing technical debt.
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Product Tech Support Intern
OnlineSales.ai · Aug 2019 – Jan 2020
- Demonstrated expertise in system monitoring techniques, encompassing monitor installation, customer request resolution, and system maintenance.
- Achieved a notable 30% reduction in escalation issues by employing proactive problem-solving strategies and maintaining effective communication channels.
- Consistently met SLAs by ensuring timely delivery of requests and services to stakeholders.
- Utilized analytical skills to proficiently identify and resolve potential issues, resulting in streamlined operations and improved efficiency.
- Created efficient scripts in Python and Ruby to facilitate system monitoring, generate reports, and extract data from diverse services and databases.
- Employed Java for debugging and enhancement purposes, contributing to the overall optimization of the system.
Skills 0 proven through work
Also works with
Technical Issue DetectionCreative BrainstormingTeamworkIssue EscalationStakeholder Communication AdaptationTechnical TroubleshootingMonitoring AutomationGeneral ScriptingPython DevelopmentLog Analysis with KibanaApplication MonitoringAPI Performance OptimizationChannel Attribution AnalysisAnalytical Report CreationData Mart DevelopmentData ValidationTabular Data Cleaning & ValidationData TransformationLarge Dataset HandlingStreaming Data ProcessingEvent-Driven ArchitectureBigQuery UsageKPI AnalysisProduct DevelopmentData Architecture DesignData ModelingCloud ComputingETL Pipeline DevelopmentData Engineering
Proof of Work
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Education
BBA, Computer Application
Savitribhai Phule Pune University · 2016 — 2019
Contact details
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