Bhaskar D. Email & Phone Number

Mumbai, Maharashtra, India

• BIU (Business Intelligence Unit) → Expertise in Defining & Creating Business Model, Business Analysis & Monitoring → Expertise in Defining and Implementation of Product & Service Eligibility Policies → Expertise in Risk Assessment and Management - Assessing and Managing Risks Associated with Various Products. → Worked in Techno-Functional Expertise Involved in Analyzing Customer & Business Requirements and Delivering Suitable Solutions for Core Banking → Expertise in Client Facing Qualities → Expertise in Handling Database Lending Team → Expertise in Handling ETB & KTB Team → Expertise in Channel Upload Team → Expertise in Planning & Execution Implementation for Monthly Release Process (Products in ETB - PL, AL/Wheels, HL/Mortgages, CC, DC, SBB) → Expertise in Planning & Execution Implementation for Monthly Release Process (Products in KTB) → Expertise in Team & Project Management, Managing User, UAT & Prod Deployment & Release Process using DevOps → Expertise in Product Development → Expertise in Cloud Migration-----------------------------------------------------------------------Expertise in Using Big Data Ecosystem Based Distributed Technologies like Spark, Kafka, Hadoop, Hive, Sqoop and Hue.Expertise in Building End-to-End Pipeline, Automation, Code Management & Deployment using Airflow, BitBucket & Jenkins.Expertise in Handling Big Data LakeExpertise in Cluster Management and Cluster Configuration for Monthly Release Process of ProductsExpertise in Code Level and Cluster Level Performance Optimization for Monthly Release ProcessExpertise in Using JIRA & Confluence for Team Management & Workspace ManagementExpertise in Working With BitBucket for Code ManagementExpertise in Code Review and Code OptimizationExpertise in Config Data Management for UAT and Prod.Expertise in MySQL Config Table Management for Pre-Check and Post-CheckExpertise in Framework Optimization

India

Worked with an Indian insurance aggregator that offers various insurance plans, including life insurance, health insurance, motor insurance, travel insurance, and group plans. The platform facilitates the comparison and purchase of insurance plans based on individual preferences.Worked with the NTTA, operates toll roads, bridges, and tunnels in the North Texas area and is authorized to acquire, construct, and maintain such projects through toll collection. The customers, both prepaid and postpaid, have Citi Bank accounts. → Expertise in Amazon Web Services (AWS) Products such as Redshift, EMR, EC2, S3, AWS Athena, Glue Data Catalog, Quicksight, DocumentDB,AWS DMS, Kinesis Data Streams & FIrehose, AWS Lambda, SNS. → Expertise in MongoDB → Expertise in Python Libraries such as Pandas, NumPy etc. → Worked in Airflow and PowerBI → Worked in Total Revenue Analysis, Calculation & Report Generation → Worked in Automatic License Plate Recognition (ALPR) or Automatic Number Plate Recognition (ANPR) Model used in Intelligent Transport System (ITS) → Involved in the Solution Model of various stages such as Grayscale, Image Binarization, License Plate Detection, Character Segmentation, Character Recognition etc. → Worked in Programming Language & APIs - Python, Keras → Worked in Kafka, Spark Streaming, HDFS, Hive, ELK Stack → Involved in the Datasets of OpenCV, XML → Expertise in Algorithms such as YOLOV3, KNN → Exposure in Artificial Neural Network Class like MLP → Exposure of Jupyter Notebook in Google Colab---------------------------------------------------------------------------------------------------------- → Cross-Functional Teams Handling → Direct Client Facing and Gathering Requirements → Consuting and Suggestions about Products for better Performance and smooth Delivery. → Sprint Planning and Monitoring to Meet the timelineP.N. - [PLEASE DOWNLOAD MY RESUME/CV FOR CLIENT NAME, MY ROLE & RESPONSIBILITIES DETAIL]

Bengaluru, Karnataka, India

A UK Based Client Involves in Intrusion Detection System that monitors a network or systems for malicious activity or policy violations. → Develop and implement cloud architecture strategies aligning with business goals. → Collaborate with stakeholders to gather requirements and ensure project alignment. → Design scalable and cost-effective Azure cloud solutions. → Ensure solutions adhere to security and compliance standards. → Lead and mentor a team of engineers and developers. → Oversee project lifecycle, ensuring timely delivery and quality. → Design and deploy Azure infrastructure and services (VMs, Azure SQL, Cosmos DB, etc.). → Develop and manage data pipelines using Azure Data Factory and Databricks. → Optimize cloud resources for performance and cost-efficiency. → Integrate various Azure services and third-party tools. → Implement robust security measures and best practices. → Monitor system performance and troubleshoot issues. → Automate infrastructure deployment using Azure DevOps and ARM templates. → Expertise in Azure Cloud Product Databricks • Expertise in Azure Cloud Product Databricks • Expertise in Spark Coding in Azure Databricks Notebook • Ingest IDS Data to Notebook • Involved in Enriching the IDS Data to Get Additional Insights to IDS Dataset • Explore IDS Data by Capturing the Type of Attacks on the Network • Expertise in IDS Data Visualization • Involved in Model Creation • Worked in Results Interpretation

Kolkata, West Bengal, India

A Bengaluru-based health-tech company, has become a comprehensive platform over the past 10 years, offering services such as appointments, consultations, health records, insurance, and online medicine ordering. This project focuses on processing real-time health data using various big data technologies, with a particular emphasis on Spark and Kafka integration.My Functional Roles & Responsibilities1. Project Planning and Management → Develop a detailed project plan, outlining milestones, timelines, and deliverables to ensure timely completion. → Engage with stakeholders to understand their requirements and expectations, ensuring alignment of project objectives with business goals. → Identify potential risks and develop mitigation strategies to address any issues that may arise during the project lifecycle. → Manage the project budget, ensuring optimal allocation and utilization of resources to meet project goals.2. Requirement Analysis → Collaborate with healthcare professionals and stakeholders to gather detailed data requirements, ensuring all necessary data sources are identified and integrated. → Translate business requirements into functional specifications for the development team, ensuring clarity and completeness.3. Team Leadership and Coordination → Lead a team of data engineers, developers, and analysts, providing guidance and support to ensure high performance and productivity. → Facilitate training sessions and workshops to enhance the team's skills in relevant technologies and methodologies. → Work closely with other teams, including the BI team, to ensure seamless integration and data flow across the organization.

Kolkata, West Bengal, India

My Technical Roles & Responsibilities1. Data Collection and IntegrationReal-time Data Ingestion: Utilize Apache Kafka to collect and integrate real-time health data from various sources such as doctor appointments, online consultations, health records, and medicine orders.Stream Processing: Implement Spark Structured Streaming to process real-time data streams efficiently, ensuring minimal latency and high throughput.2. Data Processing and Transformation → Collect JSON data in different scenarios, applying both stateful and stateless transformations in Spark Structured Streaming to clean, enrich, and aggregate health data. This includes handling complex event processing using Kafka features like Sliding Windows and Watermark. → Use various join operations to combine streams and static data, providing a comprehensive view of health-related activities and interactions. → Design JSON schemas, handling JSON using StructType, ArrayType, and StructField methods in the coding process.3. Data Storage and Management → Data Aggregation → Load the aggregated data into Apache Hive Warehouse. → comply with HIPAA regulations.4. Performance Optimization and Scalability → Performance Tuning: Optimize Kafka and Spark configurations to achieve high performance, low latency, and efficient resource utilization. → Scalability Solutions.5. Health Data Analysis → Conduct Analyses: Perform various analyses on the processed data, including: Analysis of Practo’s revenue model data, sector-wise financial growth, etc. Analysis of total patient visits to each doctor. Analysis of minimum, maximum, and average number of visits to each doctor. Register DataFrames as temporary tables to run SQL queries inside Apache Spark. Analyze the outcome of doctors' orders by counting total visits.6. Hive Warehouse Loading → Data Loading7. BI Team Collaboration → Data Delivery

Hyderabad, Telangana, India

Worked with an International Fiber Optics Solutions Company, is involved in an Internet of Things (IoT).Worked with a Germany Based Client involves in Pharmaceutical Sector. The company develops and produces medicines and vaccines for a wide range of medical discipline. This Project is all about the re-hosting of client current existing project into Hadoop platform. Previously company was using MySQL Database for storing their competitor’s retailer’s information.Worked with an USA based Bank aimed to assess its progress on various products across multiple demographic areas. → In IoT application, I developed Kafka and Spark application for ingesting data from customer sensor devices, ensuring efficient and reliable data transfer. → Implemented visualization components and user-friendly dashboards to display insights from processed data. → Established end-to-end data pipelines connecting Kafka, Spark, InfluxDB, and PostgreSQL. → Ensured seamless data flow from sensor data generation to final storage in respective databases. → Optimized the overall architecture for real-time processing and analysis of IoT data.----------------------------------------------------------------------

Bengaluru, Karnataka, India

→ Addressed ad-hoc requests by developing and executing tailored solutions using Hive. → Writing SQOOP script to fetch data from MySQL tables and placed it in HDFS Data Lake. → Creating Managed and External Hive table on top of Extracted Data for our BI Team for Report generation. → Developed data queries using HQL and optimized the Hive queries and handling complex SQL Queries. → Created Hive tables, dynamic partitions, buckets for sampling and worked on them using HQL. → Developed Scala scripts, using both Data frames and RDD in Spark for Data Aggregation queries and writing data back into OLTP system through Sqoop. → Experience in Spark application submission in different modes with correct parallelism Involved in preparing technical design/specifications for data extraction, transformation and loading. → Experienced in performance tuning of Spark Applications for setting right Batch Interval time, correct level of Parallelism and memory tuning. → Written the Hive & Apache Pig Scripts to process the data. → Performed code review and bug fixing, improving the performance.

Maharashtra, India

Worked for a premium telecom operator covering 37 regions in Central America. It offers a range of niche products/services, making it the largest operator in the region. The subscriber base is extensive, indicating a strong market presence. → Information captured in Telecomm CDRs(in various file formats, including CSV, XML, and JSON), is crucial for tracking Key Performance Indicators (KPIs) such as duration, chargeable amount, roaming data, and more. → Data is organized on a day-by-day basis. → Importing and exporting data into HDFS, Hive and Relational Database using Sqoop. → Performed performance tuning and achieved scalability. → Exposure in MapReduce by Java Programming on CDR Data Management for a Telecom Domain Client → Expertise in Handling Sensitive Data by Writing Temporary Functions in Apache Hive for Encryption → Expertise in Handling HiveQL integrated with HBase for Column Mapping and Real Time Data Processing for Network & Traffic Data Management → Exposure in MapReduce, Hive, Sqoop, Oozie, Zookeeper, HDFS, HBase, Kafka, Flume, Hue, HBase, Oracle for CDR Data Analysis Management for a Telecom Domain Client Project → Expertise in Designing ER Diagram based on Oracle Base and Lookup Tables → Expertise in Handling DML commands to manage CSV, Nested JSON and XML files → Worked in encrypting sensitive data and loading it into Hadoop Distributed File System (HDFS) using Apache Hive User-Defined Functions (UDF), and subsequently decrypting the data using the AES algorithm from the Java Cryptography Architecture (JCA).P.N. - [PLEASE DOWNLOAD MY RESUME/CV FOR MY ROLES, RESPONSIBILITIES & CLIENT DETAILS]

Bachelor Of Engineering - Be, Electronics And Communications Engineering

Masters In Business Administration (Mba), Entrepreneurship