Alper B.

Data Engineer

Alper er dataingeniør med 20 års erfaring, herunder ekspertise inden for SQL Server, Oracle og cloud-dataløsninger. I de sidste 5 år har han specialiseret sig som AWS Data Engineer, hvor han har brugt Python, AWS Glue, PySpark og SQLMesh til at designe og optimere effektive datapipelines.

Han har et godt greb om data på tværs af forskellige domæner, hvilket gør ham i stand til at forudse udfordringer og levere proaktive løsninger. Han har bl.a. designet og implementeret et datalager for en tyrkisk finansiel institution, hvor han integrerede API-data i en skalerbar OLAP-struktur og selvstændigt skabte ETL-workflows.

Hans evne til at kommunikere komplekse koncepter klart og tydeligt og hans proaktive tilgang til problemløsning gør ham til et værdifuldt aktiv for enhver organisation.

Hovedekspertise
  • AWS Athena 5 år
  • MSSQL
    MSSQL 7 år
  • T-SQL
    T-SQL 5 år
Andre færdigheder
  • Scrum
    Scrum 6 år
  • PostgreSQL
    PostgreSQL 5 år
  • Terraform
    Terraform 3 år
Alper
Alper B.

Turkey

Match med udvikler her

Udvalgt oplevelse

Beskæftigelse

  • Data Engineer

    Freelance - 9 måneder

    Contact Center Data Migration Project

    • Migrated historical data from MS Access to Snowflake in AWS;

    • Developed Python scripts and Lambda functions to retrieve daily data from call center systems via API calls;

    • Collaborated on designing SQL Mesh models to transform raw data into a reportable format;

    • Generated reports and visualizations using Tableau.

    BigQuery Data Warehouse Project

    • Processed Google Ads data using GCP Dataform;

    • Designed and implemented ETL workflows with Apache Airflow;

    • Managed Looker repository and created dashboards using LookML for data visualization.

    Teknologier:

    • Teknologier:
    • AWS Athena
    • Terraform Terraform
    • dbt dbt
    • BigQuery BigQuery
    • AWS S3 AWS S3
    • Dataflow Dataflow
    • AWS AWS
    • AWS Kinesis AWS Kinesis
    • AWS SQS AWS SQS
    • AWS Lambda AWS Lambda
    • AWS Glue AWS Glue
    • ETL ETL
    • Snowflake Snowflake
    • Data Engineering
    • SQL SQL
    • Python Python
    • Apache Spark Apache Spark
    • Google Cloud Google Cloud
  • Data Engineer

    Krakenflex - 2 flere år

    • Designed and developed product metric data models using LookML;

    • Built dashboards and data visualizations in Looker to support business insights;

    • Designed and maintained AWS Glue workflows to manage ETL processes;

    • Created and optimized Lambda functions using Python for data processing and automation;

    • Developed Athena SQL queries for efficient data analysis;

    • Created and maintained CloudFormation templates to manage infrastructure as code;

    • Built Python scripts to streamline data analysis and reporting tasks;

    • Troubleshot and resolved performance issues in ETL pipelines to ensure optimal efficiency;

    • Developed and maintained AWS Glue jobs for data transformation;

    • Managed AWS Glue crawlers to catalog and prepare data for analysis.

    Teknologier:

    • Teknologier:
    • AWS Athena
    • Terraform Terraform
    • AWS S3 AWS S3
    • AWS AWS
    • AWS Kinesis AWS Kinesis
    • AWS SQS AWS SQS
    • AWS Lambda AWS Lambda
    • AWS Glue AWS Glue
    • ETL ETL
    • Data Engineering
    • SQL SQL
    • Python Python
    • Apache Spark Apache Spark
  • Data Engineer

    Avios - 1 år 5 måneder

    • Built dashboards and data visualizations using Amazon QuickSight to support decision-making;

    • Designed and maintained AWS Glue workflows to manage and automate data processing tasks;

    • Developed and maintained Lambda functions in Python for data processing and automation;

    • Created and optimized Athena SQL queries to facilitate efficient data analysis.

    Teknologier:

    • Teknologier:
    • AWS Athena
    • Tableau Tableau
    • Terraform Terraform
    • AWS S3 AWS S3
    • AWS AWS
    • AWS Kinesis AWS Kinesis
    • AWS SQS AWS SQS
    • AWS Lambda AWS Lambda
    • AWS Glue AWS Glue
    • ETL ETL
    • Snowflake Snowflake
    • Data Engineering
    • SQL SQL
    • Python Python
    • Apache Spark Apache Spark
    • Redshift Redshift
  • Data Engineer

    Bluenet - 5 flere år 10 måneder

    • Designed Python scripts to transfer data between on-premises and cloud databases, including Azure SQL and Google BigQuery;

    • Created PowerShell scripts to automate maintenance tasks for over 50 database servers;

    • Developed stored procedures and functions for data transformation as required;

    • Built Apache Airflow DAGs to streamline data transfers between systems;

    • Designed and implemented Azure Data Factory jobs for efficient ETL processes;

    • Supported client development teams in database development and optimization;

    • Designed data warehouse structures to support scalable and efficient data analysis;

    • Actively maintained and managed databases on client on-premises servers to ensure optimal performance.

    Teknologier:

    • Teknologier:
    • T-SQL T-SQL
    • BigQuery BigQuery
    • ETL ETL
    • Data Engineering
    • PostgreSQL PostgreSQL
    • SQL SQL
    • Apache Spark Apache Spark
    • Google Cloud Google Cloud
    • Redshift Redshift

Uddannelse

  • MSc.Astrophysics

    Ege University · 2017 - 2020

Find din næste udvikler inden for få dage, ikke måneder

Book en 25-minutters samtale, hvor vi:

  • udfører behovsafdækning med fokus på udviklingsopgaver
  • Forklar vores proces, hvor vi matcher dig med kvalificerede, godkendte udviklere fra vores netværk
  • beskriver de næste trin for at finde det perfekte match på få dage

Lad os snakke om det

I kan starte samarbejdet inden for få dage.