Python Training classes near me in Btm Layout 2nd Stage, Bangalore

Objectives – Having 18.5 years of experience As a Technical Lead and Architect, I am passionate about leveraging my expertise in Databricks, Data Build Tool, Spark, Confluent Kafka, Data Lake, Lake House and Cloud Solutions to drive innovation and efficiency. With a solid background in data architecture and IT Infrastructure, I am to contribute to the robust and vision of your company by providing ro bust technical solutions that align with strategic business goals. My Goal is to enhance data-driven decision-making processes, optimize big data pipelines and implement secure and scalable cloud architectures that people the organization forward in the ever-evolving technical landscape. Certification & Achievements – 1. Confluent Certified Administrator for Apache Kafka: expiry July 2026. Confluent Certified Administrator for Apache Kafka • Amit Raj • Confluent 2. Databricks Certified Data Engineer Professional: expiry Aug 2026 Databricks Certified Data Engineer Professional • Amit Raj • Databricks Badges 3. Databricks Accredited Lakehouse Fundamentals: expiry June 2025 Academy Accreditation - Databricks Lakehouse Fundamentals • Amit Raj • Databricks Badges 4. Microsoft Certified: Azure Administrator Associate (AZ104): Microsoft certification ID: 1100039942 Expires on: August 3, 2025 Credentials - AmitRaj-8869 | Microsoft Learn 5. Microsoft Certified: Azure Security Engineer Associate (AZ500): Microsoft certification ID: 1100039942 Expires on: August 6, 2025 Credentials - AmitRaj-8869 | Microsoft Learn 6. Recognition certificate from Fidelity for designing global solutions for Data exchange. 7. Got Achievement medal from DIB(Client) with appreciation for design event-based enterprise architecture & contribution – EventHub SUMMARY • Overall total of 18.5+ years of Experience years of Experience in Application Design, Development & Deployment of Hadoop Eco System/Java/J2EE systems with good exposure to Enterprise Architecture. • Relevant Experience 9.2 years in Big Data technologies working with multiple clients and domain knowledge. • Experienced in Cassandra data modelling, cluster setup and data management. • Experienced in working with Spark-SQL, Spark SQL and Spark Structure Streaming, MLib to process and analyse data queries. • Experienced in designing solutions using Spark Streaming and Kafka Streaming for Payment Gateway/point of sales events. • Individual Contribution (Kafka Architect): Delivered UAT and PROD Cluster within the timeline for Kafka cluster using Cloudera 6.x, CSP 2.0. • Implemented a unified data platform to gather data from different sources using Kafka Producers and consumers in Scala and java. • Solid background in Object-Oriented analysis & design, UML and various design patterns. • Worked using Azure cloud(Blob, EventHub), Kubernetes, docker with Spark, scala, Schema Registry, Avro Schema with home security application for Honeywell • Implemented KSQL, KTable and KStream using Confluent Kafka along with Kafka Connect. • Hands-on Data bricks - Databricks Clusters, Data Lakehouse, Delta lake, DBFS, EXPLORE, Analyze, Clean, Transform and Load Data using Databricks. • Experience with Azure: Azure Synapse Analytics, ADLS, ADF, CosmoDB, Azure Function, Stream Analytics, Power BI. • Experience with SQL and NoSQL databases including Mysql, Oracle, Cassandra, and PostgreSQL. BigTable • Experience building and optimizing the ‘big data’ data pipeline. • Experince with Azure Devops, CI/CD pipeline, Kubernetes and docker • Motivated Technical Architect with 5 years of progressive experience. • Having Experience AWS (Ec2,S3) • Having experience with Snowflake to design data lake and load data from multiple sources to the Snowflake database. • Effectively manages assignments and team members. • Dedicated to self-development to provide expectation-exceeding service. Customer-focused, successfully contributing to company profits by improving team efficiency and productivity. • Utilizes excellent organizational skills to enhance efficiency and lead teams to achieve outstanding delivery. SKILLS == ===================  Database architecture  Database architecture development  Data Architecture  Big Data ETL  Technical solution development  Azure data solutions  Data insight provision  Technical guidance  IT Architecture  Technical solutions  Big data frameworks Technical Skills: Hortonworks2.5, Cloudera5/6, Apache Hadoop2/3 ,Spark2/3,Apache Kafka, Confluent Kafka, Hive 2/3, Impala, Sqoop, OOZie, Zookeeper, Snowflake, Data Build tool (DBT), HBase, Apache Cassandra /DataStax Cassandra, Data Bricks, Azure Cloud, AWS cloud, Talend, Airflow etc. Programming Language Python , Scala & Java Other Tools Kibana, Logstash, ElasticSearch, ELK. ============================= PROJECT UNDERTAKEN: Project: Implementation of Data Warehouse and reporting platform Roles: Databricks Architect & Engineer Teams: 12 members Technical Skills: Azure Cloud, Azure Data Factory (ADF), ADLS, Databricks, Spark3.x, Python, Scala2.15, DB2, Oracle 12g, Azure SQL My Contribution Data Bricks Infrastructure Solution: - Configured Unified Data Access Control using Unity Catalog – E1 & BY System provide a specific set of permissions, like Read Only, or, Write Only to a specific Group of Users on one, or, some of the Delta Tables, or, even at the Row Level, or, Column Level, which can contain Personally Identifiable Information, i.e., PII, of that Delta Tables - Provide Data Governance with centralized place: administer (TAI) the access to the data, and, also audit the access to the data. - Applied Data lineage for E1 & BY tables with look-up tables using Unity Catalog. - Implemented Data sharing protocol to apply secure data sharing downstream using Unity Catalog and - Design Architecture of Unity Catalog which can be linked to multiple Databricks Workspaces- DEV, UAT, PROD environment. - Created Metastore for the Unity Catalog - Apply User Management of the Unity Catalog for the TAI Lakehouse project: Users, Groups, or, the Service Principle, and, the permissions those have - Configure Data Bricks Cluste with spark 3.x for DEV, UAT & PROD for TAI -E1 & BY System. - Design & apply medallion architecture, Setup a Data Lake house with Bronze, Silver and Gold layers of a storage system using Azure Data Lake Gen2. Azure Cloud Infra and Security: - Install self-hosted integration runtime for the DB2 ON DEV, UAT & PROD and Oracle on-prem cluster on the source system. - Install Azure Virtual network managed IR On DEV, UAT & PROD. - Installed Db2 connector on DEV, UAT & PROD. - Created linked service lnk_BY_Azure_SQL, lnk_E1_Azure_SQL, lnk_Db2_E1 - Install and Configure Azure Key-Vault, added all the credential for Azure SQL, ADLS, Databricks, Users, global users, linked service to Azure Key Vault. – DEV, UAT & PROD. - Created 3 nodes for DEV and 5 nodes for PROD cluster to migrate data. - Setup and configure Azure Active Directory to provide team access policy for Databricks cluster, Azure Data Factory, Azure SQL, Azure Data Lake house. - Coordinate with TAI Client and Microsoft support team to resolve throughput issues. As Azure & Databricks Data Engineer: - developed most critical data ingestion pipelines using Azure Data Factory (ADF) for E1 to migrate 12.8TB of 120 tables from Db2 to ADLS RAW as a parquet file. There are many large tables with 2-4 TB of volume data containing 400 to 800 million records. - Initial & Incremental migration pipelines for both the E1 and BY sources with a watermark based on Julian's date & time - Design Audit table (Process log) and Control table (System) to achieve dynamic pipeline and audit information for master and child pipeline. - Design architecture solution to achieve delete for PKSNAPSHOT – E1 & BY. - Build dynamic delete pipeline using ADF (load PKTBL), Databricks PySpark for Daily, Weekly, OnDemand, and Yearly frequency to delete records from target (Analytics layer – gold layer) based on source system delete column and delete table - Build transformation using Datarbicks Spark with Scala for E1 to - Apply a transformation with a lookup table and transform to the Silver layer. - Build transformation to transform on Analytics layer (Gold) using Databricks Spark & scala. - Implemented UPSERT using Spark Structure Streaming with 5 minutes on the Analytics layer - Design pipeline architecture for master pipeline, child pipeline with different activity ID, Pipeline ID, Master pipeline ID with different pipeline Run ID to make sure for smooth transition audit. - Build logic, developed using Pyspark on Datarbicks – applied on DEV, UAT & PROD to check counter – master pipeline IN PROGRESS - or NOT so that pipeline execution should not overlap. - Pass pipeline parameter to insert or update Audit/Control table using Databricks -Pyspark. - Monitor Performance in DEV & PROD, worked with the team to reduce time. - Milestone – to achieve 10-minute SLA for Incremental load on E1 & BY (end-to-end completion time) - Milestone – achieved 1.53.45hrs to load (400millions record with2.3TB) at RAW as parquet file using ADF pipeline - Interact with Azure Devos’s engineer to build a CICD pipeline for DEV, UAT & PROD with - Develop pipeline as POC using Databricks Workflow, compare the cost with Azure Pipeline, and present to the client. My Contribution to Past Project: Project: Data Exchange (Security Framework) Roles: Technical Lead & Architect – Confluent KStream & KSQL Client: Fidelity & Westpac Team: 9 members Technical Skills: AzureDevops, Jdk 19.0, Confluent Kafka, Kstream, KSQL, Azure Databricks, DBFS, Delta lake, Azure Data Factory, ADLSGen2, Confluent Schema Registry, AES Algorithm, Hash Algorithm, Kubernetes Cluster(AKS).

I have four years of working experience in the IT industry. I have mainly worked as a python developer. I'm into data science and machine learning also. I have certifications in python, data science and machine learning. I also have two years of experience in teaching Python. I am very passionate about teaching, and I believe Python is one of the most powerful, fast and easy to learn languages out there, and I want to reach out to a vast number of audiences through this. Python has facilitated a tremendous amount of data science projects, and I wish to open that door for more people who are interested in this field.

Over 8+ years of IT experience as Full Stack Developer Specialized in MERN Stack. Extensive experience in developing web pages using HTML/HTML5, XML, DHTML CSS/CSS3, SASS, LESS, JavaScript, React JS, Redux, Flex, JQuery, JSON, Node.js, Ajax, JQUERY Bootstrap. Excellent onsite/offshore coordination Engage with team Development and maintenance for various modules of the client’s Commerce platform Experience with design of applications Background in MVC style frameworks (eg cakephp, laravel, symphony, codeigniter, zend, etc) Experience working in a Unix/Linux environment, & GitHub Experience in using React JS components, Forms, Events, Keys, Router, plus Redux, Animations and Flux concept. Good Experience in React.js for creating interactive UI using One-way data flow, Virtual DOM, JSX, React Native concepts. Familiar with creating Custom Reusable React Components Library. Experience in Advanced Routing with React Router DOM, Redux architecture with Selectors using Reselect Library. Experience in Firebase Authentication, and Firebase Storage Good Expertise in Data Normalization with Hash Tables for proper Data Flow Experience with Container Pattern, Redux Saga, and Context API Implemented GraphQL + Apollo and also modules like React Lazy + Suspense for better performance of SPA Extensive knowledge in developing single - page applications (SPAs). Working knowledge of Web protocols and standards (HTTP HTML5/XHTML/XHTML-MP, CSS3, Web Forms, XML, XML parsers) Implemented easy to use Bootstrap, Material Design, and Ant Design plugins for building carousel, accordion, modal windows etc. Good Expertise in analyzing the Document Object Model (DOM) Layout, DOM Functions, and Javascript functions, Cascading Styles across cross-browser using Firebug, Developer ToolBar. Involved in writing application level code to interact with APIs, RESTful Web Services using AJAX, JSON. Expertise in RESTful, SOAP web services to integrate between Application to Application Proficient in using Unit.js testing framework along with Jasmine, Karma, Protractor, Mocha test runner Good Experience in Bug tracking tools like JIRA,HP Quality Center and Bugzilla Experience in Version Control tools like CVS, GIT, SVN and Clear-Case for Source Code version management. Experience with CI/CD pipelines Experience in Jenkins and Maven. Expertise in using IDE tools such as Visual Studio Code, Web Matrix, Eclipse, Sublime Text Editor, IntelliJ IDEA, and Web Storm

Python basic and advance with real time scenario. Daily Assignment , Interview Preparation

Teaching is my passion,my way of teaching will be like how to represent, interpret, summarize and rethink about the whole concept I wish to teach or rather inspire my students in a specific period of time assigned to me

Infinito Solutions is a FOUR year old software training institute which has trained more than 600 professionals in niche IT software technology.We have been prominent in Devops Training,Devops Aws training and Aws training.We have got expertise of Devops training in Bangalore as we have trained more than 500 professional in Devops Aws. Devops training has helped more than 150 candidates to transform there career in Devops engineers.We have trained various students from IT background,Non It Background and Support infrastructure.Devops tools training we have been providing are Git, GitHub, Jenkins, Maven, Tomcat,JDK, Ansible,Chef, Terraform, Docker, Kubernetes and Checkstyle. Along with 10 Aws services.We have trained students from India to USA'

I am a Software Engineer working in the field of Artificial Intelligence for the past 4 years. I am providing home/online classes for Python and Artificial Intelligence.I have worked on projects in collaboration with Microsoft,Intel,SMR,Flipkart,Mc Donalds,Reliance .

Am working into analytics/data science from 3 years with both Python and R technologies

I have around 8.5 years of experience in Java spring application development. Mostly I know about developing backend APIs primarily restful which will consume by various clients. Previous I have done some enhancement and maintenance projects, and I have an experience how to write industry standard and bug-free coding. Throughout my career, I have worked with various tools like Maven, git, MongoDB, Spring, MySQL, hibernate etc. Spring boot - to create production-ready rest API MongoDB- schema-less NoSQL DB. Git - code repository Docker - deployment Spring data - for database access. Currently, I am working on the spring-based micro service project. As I have a vast knowledge of the spring based application. So I can give someone real-time project experience in the above technologies.

12 years of experience in software testing, automation, storage, python, ansible, selenium and continuous integration testing. ISTQB Certified Tester Foundation Level. 8 years of experience in Bharathanatyam. I has done Senior Grade from KSEEB.