Tinku Das

Data Engineer

Bengaluru, Karnataka, India6 yrs 8 mos experience

Most Likely To SwitchAI Enabled

Key Highlights

3+ years of experience in Data Engineering and Data Science.
Expert in Python and Big Data technologies.
Proven track record in data ingestion and transformation.

Stackforce AI infers this person is a Big Data Engineer with expertise in Data Science and Engineering.

Contact

dastinkumail@gmail.com +919051956778 LinkedIn

Skills

Core Skills

Data EngineeringBig DataData MigrationData IngestionData Science

Other Skills

AWS AthenaAirflowAlgorithmsAmazon Web Services (AWS)Apache Spark StreamingApache SqoopArtificial Intelligence (AI)Artificial Neural NetworksAzure DatabricksBig Data AnalyticsBigQueryC++Convolutional Neural Networks (CNN)Data AnalysisData Analytics

About

💊 Python addict 😍 Spark Lover 🤔 Problem Solver (sometimes maker 😁) 🤖 Automator 🙋‍♂️ Question asker 💬 Knowledge sharer I started my career with Data Engineering (data ingestion and integration) and then did some Data Science projects as well as Data Engineering. So within 3+ years of experience I worked on both Data Science and Data Engineering and I really found it very interesting. So it is a kind of mixed experience but it really helped me to understand the Big Picture. I am actively looking for new opportunities in the field of Big Data Engineering across the globe. If you want to get in touch, please find me at dastinkumail@gmail.com. Thank you very much for visiting my profile.

Experience

6 yrs 8 mos

Total Experience

1 yr 4 mos

Average Tenure

2 yrs 4 mos

Current Experience

Epik solutions

Senior Data Engineer

Feb 2024 – Present · 2 yrs 4 mos · Bengaluru, Karnataka, India · Hybrid

Aditi technologies

Senior Data Engineer

Feb 2023 – Feb 2024 · 1 yr · Bengaluru, Karnataka, India · Remote

Client: PayPal
Working with PayPal Compliants team
Tech Stack: Python, SQL, PySpark, BigQuery, GCP

PythonSQLPySparkBigQueryGCPData Engineering+1

Zs

Senior Data Engineer

Jun 2022 – Feb 2023 · 8 mos · Bengaluru, Karnataka, India

Client: Novartis
Project: Migration from R to PySpark
Tools/Technologies: Python, SQL, PySpark, Dataiku, Databricks, R

PythonSQLPySparkDataikuDatabricksR+2

Publicis sapient

Data Engineer

Jul 2021 – Jun 2022 · 11 mos · Bengaluru, Karnataka, India

Client: Capital Group
Project: Ingesting data from S3 and after ingestion (we are passing yml file which follows a pre-defined template to the ingestion framework) we have the ingestion tables in Athena. As per the business logic Curation/Transformation is performed on those tables using PySpark and finally we have the curated/transformed tables in Athena.
Tools/Technologies: Python, SQL, PySpark, AWS Athena, S3, EMR, Airflow

PythonSQLPySparkAWS AthenaS3EMR+3

Alumnus software limited

Data Scientist

Jun 2019 – Mar 2021 · 1 yr 9 mos · Kolkata, West Bengal, India

Client: JTI
Projects:
1. Customers and orders data acquisition, transformation and analysis for an ecommerce company using spark: ingested the required data from different sources into HDFS. Then transformed those datasets using spark and performed all processing requirements like join, group by etc. in spark.
Tech stack: PySpark, Python, SQL, Azure Databricks
2. Finding similar tweets from a large corpus of tweets related to e-cigarette brands which were already collected from twitter and performed some transformations using pyspark and making clusters of similar tweets. Finally we need to find some common topics which are very frequent topic in nature from each cluster using unigram, bigram, trigram of each document.
Tech stack: Spark, Python, SQL
3. Data acquisition and data integration for various e-cigarette forums, blogs, expert blog reviews, e-commerce websites (Amazon), manufacturing websites (JUUL, IQOS, Aspire, Blu, Marlboro etc.). Used sqoop to ingest data from rdbms to hdfs for the incremental data collection.
Tech stack: Python, SQL, Sqoop, HDFS
4. Data acquisition and integration for chocolates brand available in Amazon UK website. Also implemented incremental data collection as well. Finally performed sentiment analysis on the reviews collected on the chocolate products available in Amazon UK.
Tech stack: Python, SQL