Chinar Amrutkar

Data Engineer

London, United Kingdom4 yrs 5 mos experience

Key Highlights

Expert in data engineering and analytics.
Proven track record in stakeholder engagement.
Skilled in developing efficient data solutions.

Stackforce AI infers this person is a Data Engineering and Analytics expert in the SaaS industry.

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Skills

Core Skills

Data EngineeringData AnalysisBusiness IntelligenceSoftware Development

Other Skills

AirflowAlgorithmsAmazon Web Services (AWS)Analytical SkillsAnalyticsApache SparkAutomationAzure Data FactoryAzure Data LakeAzure Data Lake Storage Gen2Azure DatabricksAzure SynapseBig DataBig QueryBusiness Insights

About

--Open to hearing about Data Engineer, Data Analyst, Analytics Engineer roles--Hello there! 👋I am a Data Engineer with a passion for all things data. A significant part of my role involves talking to tech and non-tech people within the business and helping them understand each other. While I generally work with Python, Spark, SQL, Azure and Databricks, working with new technologies is always an exciting challenge! I specialise in translating business needs into data solutions everyone can understand. My success is defined by ability to make life easier for business stakeholders and make them as efficient as possible. I've grown up in a multilingual environment and I'm currently adding German to my toolkit (Wie geht's dir?). In my free time, you'll find me lost in a good book or taking a thoughtful walk in nature. Random fact - I once dreamed of being an EDM producer.If you are interested in Data and related fields, feel free to reach out for a chat! Relevant Tech: Python, Unix, Apache Spark, SQL, SQL Server, PostgreSQL, Big Query, Google Cloud Platform, Microsoft Azure, Azure Synapse, Azure Data Factory, Azure Data Lake Storage, Azure Databricks, Lakehouse, Airflow, Google Looker Studio, Microsoft Power BI, TableauPS - I absolutely love coffee, and can manage to give you a decent challenge on the tennis court 🎾

Experience

4 yrs 5 mos

Total Experience

2 yrs 2 mos

Average Tenure

2 yrs 5 mos

Current Experience

London borough of tower hamlets

Senior Data Analyst - Data Engineering

Jan 2024 – Present · 2 yrs 5 mos · London, England, United Kingdom

Supporting the UK's largest public youth services program through data and analytics.
Keywords: Customer Analytics, Member Retention, Python, SQL, SQL Server, PowerBI, Azure Data Factory, Databricks, Lakehouse, Data Analysis, Data Engineering, Pandas, Data Governance, Customer Analytics, People Analytics, Stakeholder Management, Automation, MI Reports

PythonSQLSQL ServerPowerBIAzure Data FactoryDatabricks+9

University of london

Data Engineer - Analytics

Oct 2022 – Jan 2024 · 1 yr 3 mos · London, England, United Kingdom

◦ Developed data pipelines using Azure Data Factory and analysed the results in Azure Synapse.
◦ Utilized student data to generate insights for member institutions of UoL by creating interactive dashboards.
◦ Delivered targeted analytics to Career Consultants to support their efforts in career development and guidance.
Keywords: Data Analysis, Python, Microsoft Azure, Azure Data Factory, Azure Synapse, Azure Data Lake Storage Gen2, Data Cleaning, Data Integration, MI Reporting, PowerBI, Tableau, Pandas, Data Governance, Automation

Data AnalysisPythonMicrosoft AzureAzure Data FactoryAzure SynapseAzure Data Lake Storage Gen2+9

Vodafone

2 roles

Data Engineer - Business Intelligence

Dec 2020 – Sep 2022 · 1 yr 9 mos

◦ Designed and implemented high-impact dashboards that directly influenced decision making at the Director level.
◦ Developed Spark scripts for thorough quality assurance checks on data stored daily in AWS S3 buckets.
◦ Significantly improved efficiency by redesigning 14 data pipelines to increase code reusability and decrease maintenance overhead.
◦ Streamlined metric reporting by completely replacing Excel with Databricks based data pipelines using Spark, enabling real-time generation of reports using the most recent data.
◦ Proactively identified and resolved failure patterns in data extraction pipelines, reducing failures from 80 to 5 per month.
◦ Optimized codebase by leveraging standard Python and Spark libraries, resulting in a 10% reduction in execution time.
◦ Led and mentored a junior engineer, and effectively managed the team onboarding process for two new graduates.
◦ Represented the team in meetings with leadership and stakeholders and managed all scrum activities for the team.
Tech stack: Python, Apache Spark, SQL, Big Query, Airflow, Google Cloud Platform, Looker, Dataiku
Keywords: Data Analysis, Databases, Software Development, Stakeholder Management, Business Intelligence, Data Governance, Financial KPIs, MI Reporting

Data AnalysisDatabasesSoftware DevelopmentStakeholder ManagementBusiness IntelligenceData Governance+11

Graduate Software Engineer

Aug 2020 – Nov 2020 · 3 mos

Jio

Software Engineer

Jan 2019 – Jun 2019 · 5 mos

Successfully developed a face and feature detection application using cutting-edge deep learning techniques and technologies.
Implemented an FAQ chatbot that significantly reduced support requests by 90%.
Proactively initiated and led multiple proof-of-concept projects to test the viability of potential applications and identify new opportunities for innovation.
Led the development of a hiring automation project, effectively communicating with both technical and non-technical stakeholders from HR and other departments.
Contributed valuable ideas and insights during department meetings and effectively managed individual deadlines, project priorities, and deliverables.
Tech - Python, Flask, Tensorflow, Dialogflow, Unix Shell Scripting
Keywords: Software Development

PythonFlaskTensorflowDialogflowUnix Shell ScriptingSoftware Development