Ankit Shaw Email and Phone Number
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Ankit Shaw personal email
Experienced Big Data Hadoop Spark Developer with a passion for transforming raw data into actionable insights. With a strong background in data engineering and analytics, I specialize in leveraging the power of Hadoop and Spark to process and analyze vast volumes of structured and unstructured data.Throughout my career, I have successfully designed and implemented scalable data processing pipelines, utilizing Hadoop's distributed file system (HDFS) and Spark's powerful processing engine. I am skilled in building end-to-end data solutions, including data ingestion, transformation, and storage, while ensuring data quality and integrity.My expertise extends to various big data technologies, including Apache Hive, Apache Pig, Apache Flume, Ambari, Hue, Oozie and many more. I am proficient in programming languages like Java, Scala, and Python, enabling me to develop efficient and optimized code for distributed computing frameworks.Collaboration and teamwork are integral to my work style, and I have effectively collaborated with cross-functional teams, including data scientists, analysts, and stakeholders, to deliver successful projects. I possess excellent communication skills, allowing me to translate technical concepts into easily understandable terms for non-technical audiences.Continuously keeping up with the latest advancements in big data and analytics, I am committed to staying at the forefront of emerging technologies and industry best practices. I am excited to contribute my expertise and drive innovation in the field of big data as we unlock the potential of data-driven insights to shape a better future.If you are seeking a dedicated and skilled Big Data Hadoop Spark Developer to help you harness the power of your data, let's connect and explore ways to collaborate.
Exl
View- Website:
- exlservice.com
- Employees:
- 20487
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Project ManagerExl Oct 2023 - PresentBengaluru, Karnataka, India-Worked closely with business stakeholders to understand their needs, translate them into data requirements, and deliver relevant insights.-Created comprehensive source-to-target mapping (STM) documents to ensure smooth data migration, transformation, and integration across systems. -Collaborated with data engineers, architects, and business stakeholders to define and document the data flow between source and target systems, ensuring data consistency and accuracy.-Spearheaded the design and development of a Data Lake layer on Hadoop, enabling automated monthly report generation from diverse data sources-Served as the sole technical expert on the team, independently creating the solution from inception to deployment.-Managed the project from start to live operation over 2.5 years, ensuring successful implementation and seamless automated reporting
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Senior Consultant - AnalyticsExl Nov 2021 - Sep 2023Bengaluru, Karnataka, India-Working for a Banking client as a Senior Consultant-Design and develop the data lake and functional layer in the Big data ecosystem from scratch -Developed a pipeline to generate Data Quality reports on a daily basis
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Lead Set (Big Data/Etl)Zaloni Feb 2020 - Nov 2021Bengaluru, KarnatakaAutomated CI/CD pipeline using AnsibleDesigned UI Automation FrameworkCreated Automated CI/CD pipeline to deploy our product in EC2 instancesDeployed lots of customer use-cases in CI/CD pipeline by creating playbooksHiring the right resources , and providing the good induction -
SdetZaloni Mar 2019 - Jan 2020BangaloreDesigned and Developed an Automation framework from scratchDid a lot of research work to finalize the set of tools to be used for the automation frameworkDeveloped new features for our product and also enhanced the existing featuresCreated High-Level Design and detailed design documents for different features of the productExtensive use and development of various machine learning algorithms.
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Data AnalystInsanalytics Feb 2017 - Feb 2019Kolkata Area, IndiaHadoop Developer, Finding Potential Customers for Telecom Industry->Tools and Programming languages used: Pig, Hive, Flume, HDFS, Oozie, Sqoop, RDBMS->Developed the Hadoop Cluster in the premises and integrated all the components->Preprocessed the given data using Pig to remove the noises->Store the result in Hive to query->Used Flume to extract the data from File Server->Involved in writing Oozie workflows for integration of jobs->Responsible for Unit Testing of the developed codeData Engineer, AI driven Virtual assistance application development (chatbot) ->Tools and Programming languages used: Python, Naive Bayes classifier, Tensorflow->Used NLP to understand the intent/context of the query given by user->Algorithms like TF-IDF, Word2Vec, cosine similarity were applied->Preprocessed the given query using Python to remove the noises (like spelling mistake)->Used Machine Learning Algorithms to identify the correct response -
InternInsanalytics Aug 2016 - Jan 2017Kolkata Area, India->Migration from Legacy system to Big Data systemsDeveloped data flow pipelines to ingest data from DB2 to Hadoop (HDFS) using Sqoop and then subsequently process the data as per existing business logic in RDBMS using Pig & Hive.->Implementation of ARM on Big Data PlatformCoded the Association Rule Mining Algorithm in MapReduce using Java
Ankit Shaw Education Details
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Computer Science -
St. Sebastian'S SchoolComputer Science
Frequently Asked Questions about Ankit Shaw
What company does Ankit Shaw work for?
Ankit Shaw works for Exl
What is Ankit Shaw's role at the current company?
Ankit Shaw's current role is Project Manager at EXL || BIG DATA Analytics || Hadoop || Spark || HIVE || SQL || Business Intelligence || AWS || Azure & Databricks || Data Science & Analytics || Finance & Banking Domain || B.Tech in Computer Science.
What is Ankit Shaw's email address?
Ankit Shaw's email address is as****@****oni.com
What schools did Ankit Shaw attend?
Ankit Shaw attended Visvesvaraya Technological University, St. Sebastian's School.
Who are Ankit Shaw's colleagues?
Ankit Shaw's colleagues are Mazhar Shaikh, Deepak Vig, Marc Canturia, Shaji Dasan, Tushar Garg, Varnita Srivastava, Muthumeenatchi Kannan.
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