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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 ScienceData Analysis
Google Cloud PlatformData Visualization
Apache HadoopData CleaningData IntegrationData LakeData WarehouseData QualityData GovernanceBig data technologiesCloud Computing PlatformsData-Driven SecurityData MiningData processingAI (artificial intelligence)
Machine LearningDeep Learning
NLP (Natural Language Processing)
TensorFlowComputer Vision
PythonGenerative AI
SQL
Git
RAzureVersion controlAutomationScalabilityClassificationAnalysis
DockerCollaborationClusteringText ProcessingDeployDashboardsLeadershipStrategyResearchNeural Networks
Software 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 ToolkitAWS (Amazon Web Services)Multivariate AnalysisExperimentationNoSQLAlgorithmTableauQlikViewMicroservices
Microsoft Power BIPredictive modelingStatistical Programming
DevOpsI am a Data Engineer with a B.Tech in Electrical Engineering from IIT Jodhpur. My technical strengths include Python, SQL, Pyspark, Airflow, Git, Snowflake, BigQuery, and GCP/AWS. I am proud of my sustainable development project and winning the inter IIT competition. In my current role at Micron Technology, I have developed and deployed real-time streaming ETL pipelines on Google Cloud Platform, saving millions of dollars. I have also worked on batch ETL pipelines, collaborated with stakeholders, and delivered JIRA user stories. Additionally, I have experience in data analysis, system design, and image watermarking projects.
Results-oriented Big Data Lead/Architect with 11 years of practical experience. Proven ability and effectiveness in Design Data Platforms and Lead development of high-quality code. Work on a diverse range of new technologies in challenging and dynamic environment, contribute to development and innovation of organization, upgrading my skills and knowledge. Proficient: Scala, Python, Java, Spark, Kafka, DataBricks, Snowflake, AWS, GCP, Data Science tools. Working Knowledge: Cassandra, BigQuery, Redshift, Neural Network, Scalding, Docker, Kubernetes. Tools: Intellij, Eclipse, SBT, Git, Jenkins, Teamcity, udeploy, Cloudera, Hue, Airflow, Jupyter, Rstudio. Operating Systems: Linux, Windows, Solaris, AIX. Strong design and analytical skills. Designing scalable, performant, resilient, cost-effective product architecture. Experience in designing Data Platforms, Data Warehouse and Data Lake on Big Data Systems. Product demonstrations and training sessions on Machine Learning, Big Data, Spark, BDD, TDD. Have a good grasp of finance, network, retail, healthcare domain fundamentals.
Google Cloud PlatformAirflowData LakeBig Data ArchitectureData ArchitecturePython
ScalaGoogle BigQuerySnowflakeAzureDockerKubernetesDatabricksAI (artificial intelligence)AWS (Amazon Web Services)
JavaMachine Learning
CucumberHBaseImpala
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