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I have a great passion for solving problems and can help people with various programming languages, databases, information systems, software related projects.
Technical leader with 9 years building scalable solutions across auction platforms, content management systems, and enterprise applications. Currently leading AI-First development at Pickles Auctions, helping teams adopt GitHub Copilot and modern development practices. Strong background in microservices, CLI tools, and data engineering with a focus on mentoring developers and designing systems that solve real business problems.
Embark on a transformative coding journey with me, a visionary computer science expert and a passionate mentor, bringing over two decades of rich expertise in the dynamic realms of programming, data science, and software architecture. My technical skills span across a broad spectrum, including mastery in programming languages like Python, Java, C++, C, and Scala, along with a profound understanding of algorithms, data structures, and the complex art of software design. My research interests include big data analysis, semi-stream join algorithms, and real-time data warehousing. As a mentor, I've illuminated the path for students globally, from prestigious universities in the USA, Australia, Canada, and the UK, in a vast array of subjects from Big Data Analytics to Cyber Security, and advanced programming languages. Currently, I am a lecturer of Computer Science at a Higher Education Institute. My academic prowess is underscored by a **PhD** in Computer Science, with my doctoral thesis titled: "Integrated Real-Time Distributed Stream-Disk Processing Architecture for Unstructured Big Data". Join me on codementor, where together, we'll navigate the intricacies of technology, unleashing the potential to innovate, solve real-world problems, and excel in your programming career.
Data Analyst with 7 years of experience developing data solutions using Microsoft, AWS, and Google technologies. Bachelor’s degree in Information Systems from USP, with a thesis on exploratory data analysis using unsupervised machine learning — awarded high honors and published in the USP Digital Library of Academic Works. Skilled in creating reports, dashboards, and data models using SQL, Python, and Power BI to drive data-driven decision-making. Industry experience in Food & Beverage and Insurance, supporting strategic decisions with data insights. Certifications: DP-600, PL-300, DP-100 & Databricks Data Engineer Professional.
My journey with technology started with my bachelors in Computer Science. I had got good understanding of Linux Operating Systems and Networking during my stint at College and it paved way for my future specialisations. In my first job - Infosys, developed Products and Platforms on Big Data and later joined my close friends and started Knowledge Lens, after that moved to USA for Masters in Data Science and worked for Siemens in Product Lifecycle Management R&D. Had an opportunity to build IoT platform and mentor interns/new joiners in various aspects of Products & Platform development. In my opinion, Technology is a means to better our day-to-day life events, so my focus is in building Solutions to existing problems. In that respect, I do not contain my self to trending technologies/specific languages or programming styles but look for best technologies that can help build Solutions at per necessitates (Scalable, Resilient, De-couple/Coupled, Cloud/On-Premise, Secured, Cost Effective, Sustainable and Faster operations).
Senior data & AI engineer with 9+ years building and operating scalable, low-latency data platforms processing 15TB+ and hundreds of millions of events daily across AWS, GCP, and Azure. Open-source-first — Kafka, Spark, Apache Iceberg, Trino, dbt, and Airflow on Kubernetes — across ingestion, transformation, and BI/reverse-ETL consumption, with the governance, observability, and reliability (SLOs, 99.9% uptime) production data products demand. Also delivers production AI/agentic systems (LangChain, CrewAI, Google-ADK, RAG) and administers the databases behind them — PostgreSQL, MongoDB, Cassandra/ScyllaDB, Redis, MySQL, ClickHouse (HA, backup/DR, tuning, security). Track record: 40% lower cost, 50% faster processing, 60% faster analytics deliver
Experienced full-stack software development engineer, with expertise in the Fintech and Blockchain space. My strongest skills include JavaScript, Python, Kotlin, Solidity, and AWS I have experience leading engineering teams in an Agile setting, mentoring junior engineers, and guiding the team to reach (and exceed!) its goals.
More than 6 years of Analytics experiences across Retail, telecom and manufacturing domains.
I am an expert Data Engineer having 10 years of experience with exposure on in-house, hybrid & AWS, GCP cloud services. I hold **Data Architect Nanodegree from Udacity**. My Primary skills include - - Languages - Python, PHP, Ruby, Javascript, HTML, CSS - Packages - PySpark, Pandas, Numpy, Flask, Jquery, Bokeh - Tools - Spark, Hadoop, Hive, Mysql, Postgres, Airflow - File Formats - json, csv, txt, Parquet - GCP - Cloud functions, DataProc, Bigquery, GCS - AWS - Lambda functions, API Gateway, Athena, Cloudwatch, Glue, DataBrew, Kinesis, S3, Redshift, Redshift Spectrum, SNS, SQS I mostly worked on developing, maintaining, optimising ETL/Data pipelines, used variety of tools & process during pipeline execution. Apart from building pipelines i holds good hands on building custom scripts or solutions. I am a quick learner & having positive mindset which helps me to tackle a complex problem in easy way. During my experience i optimised numerous pipelines where improved time by ~70% & saved cost with magnitude of 10th part. If you are looking for any help in learning, solving complex data problem, you are at right place. I am happy to help here. Thanks.
Have 8+ exp in Java Development, Spring Boot, AWS , DevOps involving critical designs and algorithms. Have worked in Harman International, RSA Security.
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