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Sreekutty T

As a Data Engineer, I approach my work with a strong sense of accountability and meticulousness, ensuring the reliability and integrity of every data solution. My pragmatic and logical mindset drives me to build robust systems with diligent attention to detail, consistently delivering high-quality results.

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Contact details — on requestProof of Work — on request

Experience

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Data Engineer

Lancesoft · Feb 2026 – Jul 2026

Not yet confirmed
  • Working at client Accenture on the Nissan project, developing AWS Glue data pipelines for Wheel Alignment and Driver AID Stand use cases, loading data from Amazon S3 to Snowflake.
  • Involved in the development, testing, and deployment of AWS Glue ETL pipelines, ensuring reliable and efficient data processing.
  • Contributing to Talend-to-AWS Glue migration initiatives by analyzing existing ETL workflows, translating mappings and business rules, and creating AWS Glue-based data processing solutions.
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Data Engineer

Skynetclouds · Jan 2024 – Sep 2025

Not yet confirmed
  • Developed AI-powered solutions for a real estate platform(Bluebrick, Buildermatch), including property recommendation systems and price prediction model.
  • Developed RESTful APIs using Fast to serve personalized property suggestions, search history, and popularity-based listings in real-time.
  • Integrated structured and behavioral data (clicks, views, searches) to deliver tailored recommendations, similar to platforms like Amazon or Trulia.
  • Added dynamic property tags (Previously Viewed, Recently Launched, Mostly Viewed, etc.) on property listings to improve user engagement.
  • Automated model retraining and pipeline updates to ensure recommendations adapt to new property data and user interactions.
  • Spearheaded the creation of an AI assistant capable of answering real estate questions, estimating property prices, and providing investment insights.
  • Built a dynamic city-based footer in Python where links update with each search and take users directly to property listings.
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Associate Data Science Engineer

NetObjex Inc. · Mar 2021 – Jun 2023

Not yet confirmed
  • Built and maintained scalable data pipelines supporting the Kresus Super App, integrating user analytics and behaviour-driven insights from MongoDB and external APIs.
  • Developed Python-based ETL workflows to ingest and transform large datasets from multiple relational and NoSQL sources, ensuring data governance and quality across all layers.
  • Implemented Snowflake data ingestion using COPY commands and wrote advanced SQL queries for transformation, aggregation, and performance-tuned reporting.
  • Built an AWS Data Lake using S3 and Glue to centralize data from multiple sources, supporting analytics and business reporting needs.
  • Designed and implemented interactive dashboards using Python and Tableau, enabling data-driven decision-making through clear visualization of key business metrics
  • Configured data access controls and implemented role-based permissions on data assets to ensure governance and security compliance.

Skills 0 proven through work

Also works with

Amplitude UsageQuery WritingMachine Learning ApplicationAI Tool EnablementWork EfficiencyProcess ImprovementBusiness Value RealizationStakeholder Communication AdaptationDecision MakingProfessional Skill DevelopmentReceiving and Incorporating FeedbackVerbal CommunicationDoubt ClarificationTransparent CommunicationSoftware Quality AssuranceTaking OwnershipCross-Departmental CoordinationStakeholder ManagementReliabilityTeamworkConsistent Quality DeliveryStructured Work ApproachProblem SolvingDependency AnalysisUse Case DevelopmentAdaptabilityWork Planning and PrioritizationData Architecture DesignProcessing Pipeline OptimizationData Partitioning and Segregation DesignSystem Compatibility DesignData CatalogingData GovernanceAPI-Based Data CollectionWorking with CSV FilesData EngineeringApplication Performance OptimizationDatabase Query OptimizationApplication MonitoringKPI AnalysisTime Series Trend AnalysisAudience Engagement AnalysisData CurationModular System DesignJira UsageDashboard UI DesignBusiness IntelligenceFallback Mechanism DesignStructured LoggingError HandlingAPI Performance OptimizationPagination ImplementationOver-fetching PreventionJSON Data HandlingREST API Endpoint DevelopmentData MonitoringStreaming Data ProcessingAPI IntegrationTraining Data CreationModel Training ExecutionPython DevelopmentData CollectionAI Solution ImplementationAI Pipeline DevelopmentRecommendation Feature DevelopmentData Synchronization Pipeline DesignApplication DeploymentETL TestingTechnical TroubleshootingLog AnalysisData Repetition PreventionData Integrity ManagementSnowflakeData LoadingDelta Live Tables UsageBusiness Logic ImplementationData ValidationData PreprocessingData Unification and NormalizationTabular Data Cleaning & ValidationData TransformationAmazon S3Data ExtractionPySparkBusiness AnalysisMetadata-Driven Feature InterpretationData Mart DevelopmentAWS GlueETL Pipeline Development

Proof of Work

Proof of Work

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Education

Master Of Science, Computer Science

Cochin University of Science and Technology, Kochi · 2018 — 2020

Bachler of Science, Computer Science

Calicut University · 2015 — 2018

Links

LinkedIn

linkedin.com/in/sreekutty-thankappan

Contact details

Contact details

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