Hire Remote Senior
Data Engineering Developers
in APAC

Having 9+ years of experience in Science of the data, I do not hesitate to use adaptations instead of reinventing the wheel. I BELIEVE: 1) Scoping the problem to find its relevance is one of the most important aspects of analytics. 2) Creating partial solutions is better than admiring the problem. Being an impatient learner makes me flexible enough to learn new technologies. Science of data is not just a Tech, but also a LIFE skill!

Data EngineeringData ScienceData AnalysisGoogle Cloud PlatformData VisualizationApache HadoopData CleaningData IntegrationData LakeData WarehouseData QualityData GovernanceBig data technologiesCloud Computing PlatformsData-Driven SecurityData MiningData processingAIMachine LearningDeep LearningNLPTensorFlowComputer VisionPythonGenerative AISQLGitRAzureVersion controlAutomationScalabilityClassificationAnalysisDockerCollaborationClusteringText ProcessingDeployDashboardsLeadershipStrategyResearchNeural NetworksSoftware DevelopmentA/B testingPresentationsText ClassificationApplication DevelopmentModellingContainerizationContinuous DeploymentKubernetesSupervised LearningReinforcement LearningUnsupervised LearningTechnical WritingKerasRecurrent neural networksAgilePerformance OptimizationProblem SolvingPyTorchDomain ExpertiseCommunication SkillsProgram ManagementGenerative ModelsStatistical AnalysisTime Series AnalysisBayesian StatisticsReport DesignSentiment TaggingTokenizationFeature ModelingTransformersHuggingfaceCritical ThinkingRegression modellingMicrosoft Business IntelligenceSoftware ArchitectureNatural Language ToolkitAWSMultivariate AnalysisExperimentationNoSQLAlgorithmTableauQlikViewMicroservicesMicrosoft Power BIPredictive modelingStatistical ProgrammingDevOps

Hi, myself NArayana MOtamarri (NaMo) 🙏 With Total 16 years experience (13.5 yrs Professional + 2.5 yrs Masters Degree at Arizona State Univ, USA including research using Hadoop).. My broad interests are in the areas of Big Data: 1.Redshift, BigQuery (MPP/Columnar) 2.Spark (Databricks/AWS-Glue) 3.Hadoop (Cloudera/AWS-EMR). 4.SnowflakeDB Cloud: AWS, GCP. Data Engineering, Data Lakes, Data Warehouses. GCP-BigTable (NoSQL, Document-Store, Real Time Data Serving (low-latency)). Certified as \> cloud analytics Master \> cloud analytics Architect From cloud analytics academy by Snowflake, AWS. My Personal \*Git\* repo: [https://github.com/narayanM?tab=repositories](https://github.com/narayanM?tab=repositories) I Tweet as @NarayanGupta I recently worked on Intent Data at Bombora! Prior to that I was scaling out Hearst Auto’s AWS Redshift Data Warehouse, Data Pipelines (Ingestions, Materialized Views, Stored Procedures, KPI Reporting), workflow, Spectrum Data Lake, Data Integration, Docker/Containerization/ECS. And later Migrated AWS/Docker stack to GCP: Composer(Airflow), BigQuery, GCS for business needs. My Master's Thesis Document: "Large Scale Analytical Insights of Email Communication Patterns" can be accessed at: [http://repository.asu.edu/items/9485](http://repository.asu.edu/items/9485) My Achievements: —————————— Built AWS Cloud (Redshift, Glue, etc) based Data platform at Hearst Autos from ground up. (2014 to 2021) (7.5 years) Worked at my dream company “Cloudera”, using Hadoop in building Big data applications. (2012 - 2014) Chose the tough path of doing Research work using Hadoop & completed my Master’s Thesis at Arizona State University (ASU). (2010 - 2011) I was 1 of the 2 candidates from my B-Tech IT (in the class of 60) who got placement at Infosys first (on-campus placement). (2007) I was awarded “Best Out going Student” in my 10th standard/grade, for my all-round performances in Academics (Curricular), Co-Curricular, Extra-Curricular activities in my entire schooling (KG to 10th). (1991 to 2001)

Data EngineeringData warehouseApache HadoopApache SparkGoogle Cloud PlatformAirflowSQLAWSPythonGoogle BigQueryAmazon RedshiftAws glue

Highly analytical and results driven data scientist with more than 4 years experience. Adept at machine learning, data engineering, statistics, problem-solving, programming & extracting insights from large data sets. Committed to using data to drive business growth and improve decision-making.

Data EngineeringData analyticsData ScienceETLGoogle Cloud PlatformApache SparkApache KafkaApache HadoopData ModelingData WarehouseApache HivePythonSQLNLPTensorFlowMachine LearningRAIComputer VisionNoSQLDockerBIAWSMySQLAPIFirebaseMixpanelWebhooksMicrosoft Power BILookerAmplify