Abhishek Patil — Backend Engineer

Experienced Data Engineer with demonstrated 5+ years of experience of implementing end-to-end data solutions consisting of batch as well as real-time streaming of data. - Proficient in Microsoft Azure, familiar with AWS - Experience in messaging services like EventHub,IoTHub, RabbitMQ, Kafka, database like MS SQL , Postgres, OLAP like Snowflake, Synapse, Operational systems like SAP, Salesforce ,Infrastructure as a code like AWS CDK, Terraform and source control like GitHub, GitLab, etc - Real time solution implementation using services like Azure IoTHub, Function App, Databricks. - Experience in implementing data science initiatives on sentimental analysis using Hugging Face, or abnormal detection for transaction data with Autofocus. - Experience in data integration with various sources like databases, blobs, APIs, and others. - Proficient in data engineering concepts like data extraction, transformation, modelling , governance, ETL, ELT, etc. - Tools and technologies: Microsoft Azure services like ADF, Databricks, EventHub, IoTHub, Function App, Azure Monitor, Azure AI Service,ADLS, and others. - Data sources like ADLS, MS SQL, APIs, Json, CSV, Postgres, Snowflake, Big Query, My SQL, Blob Storage - Languages like Python, Pyspark, SQL, Java, Shell scripting, Javascript, etc. - Understanding of Infrastructure as a code using DevOps, Terraform. Projects undertaken -Contribution in projects like data extraction from IOT devices (Edge Gateways) and deployment of module for Modbus to MQTT protocol conversion on gateways with Azure IOT Hub,Azure Functions and Data Engineering. - Implementation of real time complete data solution using Azure EventHub, Function App and Databricks for leads. - Sentimental Analysis on customer survey data using Hugging face. -Automating Data Loading, applying Data Engineering To Databases with Java and ETL Tool Talend. - Snowflake Dynamic Query generation and calling Snowflake javascript stored procedure for it from Azure Data Factory and applying transformations through Data Flow. - Part of building a Google Pay Metadata management system in big data infrastructure using tools and tech like python, SQL and others. -Automating AutoCAD drawing generation with .Net,WPF and Autolisp from the BOM provided. -Automating Inauguration ceremony with Raspberry Pie,Node-Red and others. -A Graduate from Vellore Institute Of Technology pabhishek.muralidhar2014@vitalum.ac.in +91-8072759877

Stackforce AI infers this person is a Data Engineer specializing in cloud-based data solutions and real-time data processing.

Location: Pune, Maharashtra, India

Experience: 7 yrs 1 mo