Summary
Overview
Work History
Education
Skills
Affiliations
Timeline
Generic

Akhil D

Fremont,CA

Summary

Experienced Senior Data Engineer and Senior Data Analyst with expertise in designing and optimizing large-scale data pipelines and delivering actionable insights. Skilled in Python, SQL, Spark, AWS Glue, Azure Data Factory, and Google BigQuery. Proven track record in improving ETL job performance by 40%, implementing scalable data models, and ensuring data quality and security in compliance with GDPR and CCPA.

At Meta, I developed efficient data workflows, integrated real-time data, and built interactive dashboards using Tableau and Power BI to drive business decisions. Passionate about leveraging data to support growth and innovation, I am eager to continue making data-driven contributions in a dynamic environment.

Overview

7
7
years of professional experience

Work History

Senior Data Engineer/Data Analyst

Tetra Tech (Meta)
San Francisco, CA
04.2023 - 12.2024
  • Design, build, and optimize scalable data pipelines to support Meta’s large-scale data operations using tools like Python, SQL, Spark, and Airflow.
    Handle real-time and batch data processing for ingestion, transformation, and storage in data lakes and warehouses.
  • Improve the efficiency of ETL jobs and workflows, ensuring minimal downtime, and quick data availability for decision-making.
    Implement best practices for data partitioning, indexing, and query optimization to enhance processing speed.
  • Define and enforce data quality standards, conducting regular audits and validations to maintain accuracy and consistency.
  • Ensure compliance with Meta’s data privacy policies and global regulations such as GDPR and CCPA.
  • Leverage Meta’s internal tools, as well as external technologies like Hive, Presto, Hadoop, Kubernetes, GCP, or AWS, for efficient data handling.
  • Identify and adopt emerging technologies to enhance data engineering capabilities.
  • Create interactive dashboards and visualizations using Tableau, Power BI, or Meta’s internal tools to support decision-making.
  • Generate automated and ad hoc reports for leadership and cross-functional teams.erform predictive modeling, regression analysis, and machine learning techniques to forecast outcomes and enhance decision-making.
  • Utilize tools like SQL, Python, and R to automate analyses and reduce processing time.
  • Define and track key performance indicators (KPIs) to measure the success of initiatives and business outcomes.

ETL Developer

HCL Technologies
Bengaluru, Karnataka
01.2020 - 07.2021
  • Designed and developed ETL pipelines using Informatica, Talend, Python, and SQL, integrating structured and unstructured data into data warehouses.
  • Automated data ingestion and transformation, reducing manual effort by 30% and ensuring 99.9% accuracy in reporting.
  • Integrated batch and real-time data flows with tools like AWS Glue and Azure Data Factory, enabling analytics at scale.
  • Optimized ETL job performance, improving execution speed by 40% through indexing, partitioning, and query tuning.
  • Ensured data security and compliance (GDPR, HIPAA) with encryption and masking techniques.
  • Migrated legacy ETL workflows to cloud platforms like AWS Redshift and Google BigQuery, reducing costs and improving scalability.

Data Analyst

Concentrix
Bengaluru, Karnataka
01.2019 - 12.2019
  • Conducted data analysis on customer retention metrics, identifying key drivers that improved retention by 15%.
  • Created predictive models in Python to forecast call volume, enabling better resource allocation and cost savings.
  • Collaborated with cross-functional teams to deliver actionable insights through Power BI dashboards.
  • Optimized SQL queries for faster data retrieval, improving reporting turnaround times by 20%.

Junior Data Analyst

247.ai
Hyderabad, Telangana
08.2017 - 12.2018
  • Analyzed customer support data to identify trends and improve service efficiency, resulting in a 10% increase in customer satisfaction scores.
  • Automated data reporting processes using SQL and Excel, reducing manual effort by 25%.
  • Assisted in creating interactive dashboards with Tableau to monitor key performance indicators (KPIs).
  • Supported the data preparation process by cleaning and validating datasets for business intelligence reports.

Education

Master of Science - Computer And Information Sciences

Gannon University
Erie, PA
12-2022

Bachelor of Science - Computer Science

Jawaharlal Nehru Technological University
Hyderabad
05-2017

Skills

  • Python
  • SQL
  • Java
  • Scala
  • R
  • Apache Hadoop (HDFS, MapReduce)
  • Apache Hive (Data warehousing)
  • Kafka
  • Google BigQuery
  • AWS (EC2, S3, Lambda, Glue,
  • Redshift, EMR)
  • Google Cloud Platform (GCP Dataflow,
  • GCP Dataproc, GCP BigQuery)
  • Tableau, Power BI, QlikView
  • Hadoop, Spark
  • Snowflake
  • Azure
  • ETL tools: Talend, Informatica, Apache
  • NiFi, AWS Glue
  • Git, GitHub, GitLab, Bitbucket
  • CI/CD, Terraform, Ansible
  • NoSQL Databases (MongoDB, Cassandra)
  • SQL Databases (MySQL, PostgreSQL, MS SQL Server)
  • Jira
  • K-means, linear Regression

Affiliations

Participated in Data Science Hackathons, Kaggle competitions

Timeline

Senior Data Engineer/Data Analyst

Tetra Tech (Meta)
04.2023 - 12.2024

ETL Developer

HCL Technologies
01.2020 - 07.2021

Data Analyst

Concentrix
01.2019 - 12.2019

Junior Data Analyst

247.ai
08.2017 - 12.2018

Master of Science - Computer And Information Sciences

Gannon University

Bachelor of Science - Computer Science

Jawaharlal Nehru Technological University
Akhil D