17.04.2024 aktualisiert
100 % verfügbar
Senior Software Engineer, Senior Software Engineer, Software Engineer
Pune, Guinea
Weltweit
Skills
APIsAmazon Web ServicesAmazon S3Data AnalysisSoftwareanwendungenBig DataSaasDatenbankenData CentersData GovernanceDatenintegritätETLDatenmanagementDatenvisualisierungDistributed Computing
Amazon EMR, Redshift, Amazon Redshift, S3, SQS, AWS, AWS services, Hadoop, Hive, Apache Spark, Spark, API, APIs, backend, big data, large data, large volumes of data, Cloud services, CloudWatch, analytics, data centre, data centers, data governance, data integrity, Big data tools, data management, data pipelines, data visualization, Databases, database, distributed computing, ETL, extract, transform, and load, fault-tolerant systems, Computer Science, job scheduling, mainframe, memory management, MongoDB, Play framework, Postgress, Programming languages, PySpark, Python, query optimisation, SQL, Computer Application, SaaS, transactional data
Erfahrung
Berufserfahrungmehr als 10 Jahre
Freelancer seit2023
Sprachen
Englishgut
Projekthistorie
Designing, creating, testing and maintaining the complete data management & processing systems. Working closely with the stakeholders &
solution architect. Ensuring architecture meets the business requirements. Building highly scalable, robust & fault-tolerant systems. Taking care
of the complete End-To-End pipeline process. Improving data quality, reliability & efåciency of the individual components & the complete system.
Creating a complete solution by integrating a variety of programming languages & tools together.
* Digital marketing performance was supposed to be data-driven and measurable.
* LiftLab replaces digital guesswork with new innovations in media experimentation to provide a clear,precise view of marginal spend and
proåt performance with power marketing,the science and data-driven conådence to maximize every dollar spent, across every channel.
* Better results start with better evidence. LiftLab is a SaaS platform with powerful media Lift Curves to learn baseline performance and ånally
understand marginal revenue and proåt.
* Marketers use LiftLab to rapidly experiment their way to success and give brands the answers to drive a predictable performance advantage.
* Integrating social media marketing API's like Facebook, Pinterest ,snap-chat, apple marketing, tik tok.
solution architect. Ensuring architecture meets the business requirements. Building highly scalable, robust & fault-tolerant systems. Taking care
of the complete End-To-End pipeline process. Improving data quality, reliability & efåciency of the individual components & the complete system.
Creating a complete solution by integrating a variety of programming languages & tools together.
* Digital marketing performance was supposed to be data-driven and measurable.
* LiftLab replaces digital guesswork with new innovations in media experimentation to provide a clear,precise view of marginal spend and
proåt performance with power marketing,the science and data-driven conådence to maximize every dollar spent, across every channel.
* Better results start with better evidence. LiftLab is a SaaS platform with powerful media Lift Curves to learn baseline performance and ånally
understand marginal revenue and proåt.
* Marketers use LiftLab to rapidly experiment their way to success and give brands the answers to drive a predictable performance advantage.
* Integrating social media marketing API's like Facebook, Pinterest ,snap-chat, apple marketing, tik tok.
Improving data quality, reliability & efåciency of the individual components & the complete system Taking care of the complete End-To-End
pipeline process
* In this project we scrapped Facebook, twitter, Instagram and Linked-in data for company's and analysed data to identiåed competitor
information Used scala spark process large data.
* Stored processed large and meaningful data into redshift.
pipeline process
* In this project we scrapped Facebook, twitter, Instagram and Linked-in data for company's and analysed data to identiåed competitor
information Used scala spark process large data.
* Stored processed large and meaningful data into redshift.
Working on large scale data centre data to pull and load into AWS Working with stake holders to get requirements
* Leveraged AWS services such as Amazon EMR to efåciently process large volumes of data collected from data centers.
* Designed and implemented ETL pipelines to extract, transform, and load the data into Amazon Redshift for storage and analytics purposes.
* Utilised Redshift's powerful querying capabilities to perform advanced analytics and generate insights from the processed data.
* Developed data visualization dashboards and reports to provide stakeholders with actionable insights derived from the data.
* Implemented robust security measures and data governance practices to ensure the conådentiality, integrity, and availability of the data
throughout the process.
* Leveraged AWS services such as Amazon EMR to efåciently process large volumes of data collected from data centers.
* Designed and implemented ETL pipelines to extract, transform, and load the data into Amazon Redshift for storage and analytics purposes.
* Utilised Redshift's powerful querying capabilities to perform advanced analytics and generate insights from the processed data.
* Developed data visualization dashboards and reports to provide stakeholders with actionable insights derived from the data.
* Implemented robust security measures and data governance practices to ensure the conådentiality, integrity, and availability of the data
throughout the process.