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I have a Bachelor's Degree in Computer Science from Pakuan University Indonesia. I am a Google Professional Cloud Architect certified with 5+ years of experience. I have worked on various projects in web development especially WordPress CMS or PHP applications and hosted in CPanel web hosting or Cloud (AWS EC2, AWS Lightsail, Google Cloud, Vultr, Hetzner, Digital Ocean) using Panel or without panel. I also worked on Google Cloud Solution Architects creating auto-scale infrastructure (Managed or Unmanaged Instance Group + Load Balancer + Cloud Armor, Kubernetes Cluster, and Anthos), Cloud SQL, Cloud Storage, and Compute Engine. I am flexible to project demands and shifting priorities. I thrive in unfamiliar situations and enjoy opportunities to learn and gain exposure to new ideas and experiences. I am eager to be challenged to grow and further improve my skills. I am open and willing to learn whatever is necessary to accomplish my client's goals. And my greatest passion in life is using my technical know-how and information technology to benefit other people and organizations.

#Data Engineer ( Python, NodeJS, Shell, NoSQL, JSON) #BigData Environment (Hadoop, Kafka, Hive, Spark etc) #Data Pipeline and WorkFlow ( Airflow, Kedro, Luigi, Talend) #Web Appllication Developer ( PHP, React JS, Laravel) #CloudPlatform ( AliCloud & GoogleCloudPlatform) #HRIS Expert #HR Management #CRM ( SalesForce) #Cloud ServerLess using Fun Aliyun - AlibabaCloud #Python for Serverless As Data Engineer, My job description is create and maintain optimal data pipeline architecture. Assemble large, complex data sets that meet functional / non-functional business requirements. Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc. Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using NoSQL and AliCloud ‘big data’ technologies ( Data Work as Datawarehouse, ApsaraDB for MongoDB, Max Compute and Object Storage Services(OSS) as Supporting, Build API Services using Function Compute with Docker Services. Another Platform ever used : DataVirtuality as a pipeline, Supermetrics as another supporting pipeline, Talkwalker as social Media Listener, BigQuery - Google Cloud Platform as a Datawarehouse and Tableau as Analytics side CRM Platform : Sales Force Marketing Cloud ( Administrator Role) Datawarehouse development using postgreeSQL for MAP Ecommerce Channel Project ( Lazada API, Shopee and blibli) develop pipeline using Python & ECS from Alicloud (Linux Based) BigData Tools : Meltano, Apache Airflow Implementation as WorkFlow Management, MetaBase as Visualisation, BigQuery as Datawarehouse and etc.

Hello, I have 18+ years of experience working in ICT domain. Currently working as developer (Java, Node.js) and DevOps. Here's the shortlist of my experiences: Backend (Java): Spring Boot, JPA, Security, Batch. Backend (Javascript): Node.JS, ExpressJS, NestJS. Serverless: AWS Lambda. Frontend: Thymeleaf, Vue.js, React.js. Charts: Amcharts, Charts.js, D3.js Database: PostgreSQL, MySQL, Derby, MongoDB, DynamoDB. AWS: EC2, VPC, RDS, S3 Elastic Beanstalk, Cognito, SES, CloufFormation, ECS, ELB. Virtualization: Docker, docker-compose. Scripting: Perl, Shell/Bash, AWK. Payment gateway; Stripe, Braintree. Tools: Maven, Gradle, Git, IntelliJ, Selenium. Linux: Debian, Ubuntu, RedHat, CentOS. CI/CD: CodePipeline, Jenkins, Circle CI, Codemagic. Protocol & Spec: LDAP, ASN.1, Diameter, Radius, SMPP, HTTP (REST, SOAP). Other knowledge: Twilio Video API, Spark, Kafka, FreeRadius, Captive Portal, I also would love to support you to design an end-to-end solution and lead your development team to achieve your business goals. Thank you for visiting my profile. Feel free to contact me even to say hi or want to discuss about your project or idea. I hope it worth your time.

Hello everyone, I’m Syahman, a Data Quality Specialist dedicated to building reliable, error-free data ecosystems. Coming from a background in rigorous Data Stewardship, I understand that bad data leads to bad business decisions. I specialize in programmatic data cleansing, automated validation, and building resilient data architectures that businesses can actually trust. How I bring value to your data: - Programmatic Data Cleansing: Using advanced SQL to standardize messy, real-world datasets. - Data Transformation & Modeling: Building clean, heavily-tested dimensional models and join spines using dbt. - Workflow Orchestration: Automating data extraction and validation processes using Apache Airflow and Docker. - Data Governance & Auditing: Engineering automated anomaly-detection tables to continuously monitor data integrity. I transform chaotic databases into structured, high-quality assets that drive operational efficiency. If you are looking for an engineer who cares deeply about the accuracy of your data, let's collaborate.

Dear Sir, Let me introduce my self: Hold master degree of Information Technology since 2004. Experiences: ICT 22+ years, Huge data 16+ years, InfoSec: 5+ years Industry background: Telecommunication (Intelligent Networks). Familiar with UNIX, Cloud Environment Create custom software to handle data from/to many source/target/format: web (crawling), json, xml, csv, excel, text, sql, mml, pmml, arff, text, binary, etc. Also can retrieve data directly from the compressed file (tar.gz) like find specific information from files inside the compressed file. End-to-end process: collect/retrieve, extract, modify, integrate, analyze (anomaly, pattern, insight), update, reporting (visualization), and send the result to other process. Tools: python, perl, unix (awk, sed. shell, join, etc.), knime, talend, tableau, sql, selenium, etc. Highlight on personal big project (one man developer): 1. on 2006 build tools to process data that run on unix server FSC PrimePower 1500, HW cost USD1 million (dedicated server, no other tools running on it) - system: unix - tools: perl, shell - run everyday - data source: CDR from 35 Intelligent Networks - data size: 65GB /day - report: excel 2. on 2018 build tools to process with multiprocessing (32-cores) on GCP - system: ubuntu (Cloud) - tools: python - run on demand - data source: GdmDataExport (tar.gz) - data size 260GB (bulk data) - output: csv 3. on 2021 build tools to collect data from web (Indonesia Stock Exchange), running everyday - system: windows 10 - tools: python, selenium, knime, postgreSQL, chrome web-driver - run everyday - data source: web, xml - data size: 1.7GB /day - output: json, dbms I will working at any day and any time, but be aware that on normal activities (no project) I will be active to be response at 08:00 - 21:00 Indonesia Time (GMT+7) Please give me a chance to be able to work on this Platform, Thank You

Dear Sir, Let me introduce my self: Hold master degree of Information Technology since 2004. Experiences: ICT 22+ years, Software Developer 10+ years, Data Engineer with huge data 10+ years, InfoSec: 3+ years Industry background: Telecommunication (Intelligent Networks). Familiar with UNIX, Cloud Environment Create custom software to handle data from/to many source/target/format: web (crawling), json, xml, csv, excel, text, sql, mml, pmml, arff, text, binary, etc. Also can retrieve data directly from the compressed file (tar.gz) like find specific information from files inside the compressed file. End-to-end process: collect/retrieve, extract, modify, integrate, analyze (anomaly, pattern, insight), update, reporting (visualization), and send the result to other process. Tools: python, perl, unix (awk, sed. shell, join, etc.), knime, talend, tableau, sql, selenium, etc. Highlight on personal big project (one man developer): 1. on 2006 build tools to process data that run on unix server FSC PrimePower 1500, HW cost USD1 million (dedicated server, no other tools running on it) - system: unix - tools: perl, shell - run everyday - data source: CDR from 35 Intelligent Networks - data size: 65GB /day - report: excel 2. on 2018 build tools to process with multiprocessing (32-cores) on GCP - system: ubuntu (Cloud) - tools: python - run on demand - data source: GdmDataExport (tar.gz) - data size 260GB (bulk data) - output: csv 3. on 2021 build tools to collect data from web (Indonesia Stock Exchange), running everyday - system: windows 10 - tools: python, selenium, knime, postgreSQL, chrome web-driver - run everyday - data source: web, xml - data size: 1.7GB /day - output: json, dbms I will working at any day and any time, but be aware that on normal activities (no project) I will be active to be response at 08:00 - 21:00 Indonesia Time (GMT+7) Please Hire me. Thank You, Anwar