Alper B.

Data Engineer

Alper er en dataingeniør med 20 års erfaring, inkludert ekspertise i SQL Server, Oracle og skybaserte dataløsninger. De siste 5 årene har han spesialisert seg som AWS-dataingeniør, og anvendte Python, AWS Glue, PySpark og SQLMesh for å designe og optimalisere effektive datapipeliner.

Han har en solid forståelse av data på tvers av ulike domener, noe som gjør at han kan forutse utfordringer og levere proaktive løsninger. Merkbart er det at han designet og implementerte et data warehouse for en tyrkisk finansinstitusjon, integrerte API-data i en skalerbar OLAP-struktur og selvstendig opprettet ETL-arbeidsflyter.

Hans evne til å formidle komplekse konsepter tydelig og hans proaktive tilnærming til problemløsning gjør ham til en verdifull ressurs for enhver organisasjon.

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

Turkey

Kom i gang

Utvalgt opplevelse

Arbeidserfaring

  • Data Engineer

    Freelance - 9 months

    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 years

    • 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 year 5 months

    • 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 years 10 months

    • 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

Utdannelse

  • MSc.Astrophysics

    Ege University · 2017 - 2020

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